Senior IT Consultant / AI Solution Architect / Full Stack Engineer
Aktualisiert am 09.01.2026
Profil
Freiberufler / Selbstständiger
Remote-Arbeit
Verfügbar ab: 09.01.2026
Verfügbar zu: 100%
davon vor Ort: 60%
Python FastAPI Application Architecture
AI Solution Architecture
Generative AI
LangChain
LangGraph
RAG
REST APIs
React
TypeScript
PostgreSQL
Neo4j
Vector Databases
Cloud Archiecture
AWS
Google Cloud Platform
Docker
Kubernetes
Microservices
CI/CD
enterprise applications
English
Fluent
German
A2 Certified ? B1 in progress

Einsatzorte

Einsatzorte

Deutschland, Schweiz, Österreich
möglich

Projekte

Projekte

3 months
2025-10 - now

Open Source ? AI-powered Graph & RAG Platform

Solution Architect / Lead Developer Generative AI LangChain RAG ...
Solution Architect / Lead Developer
  • Designed and developed multiple open-source, AI-powered platforms focused on RAG and developer productivity
  • Built Smart Developer Assistant (SDA) using FastAPI, LangChain, Qdrant, and React to support code generation and documentation workflows
  • Implemented Dealflow Data Platform using Node.js, React, Neo4j, and LangChain for AI-assisted graph data modeling and natural language querying
  • Extended the architecture with NVIDIA-optimized components for GPU-accelerated inference and embedding workflows starting January
  • Designed modular, cloud-ready architectures with containerized deployment and clear separation of concerns
  • Authored technical documentation and maintained public repositories to support community usage and learning
LangChain Neo4j FastAPI NVIDIA AI Stack
Generative AI LangChain RAG Neo4j Vector Databases Cloud Architecture
Open Source Project
6 months
2025-07 - now

AI Code Intelligence & Automation Platform

Smart Developer Assistant (SDA) FastAPI Python LangChain ...
Smart Developer Assistant (SDA)
Independent & Open-Source AI Platform Engineering
  • A full-stack, multi-agent AI system that automates code understanding, architecture summarization, refactoring, and deployment artifact generation
  • Designed modular AI architecture integrating RAG retrieval, multi-agent reasoning and full-stack UX
  • Built ingestion ? chunking ? embedding pipeline with Qdrant vector collections
  • Implemented multi-agent workflow (Retriever ? Analyzer ? Refactor ? DevOps)
  • Developed interactive dashboards for code insights, GitHub integration, and agent tracing.
  • Delivered complete deployment automation: Docker, K8s manifests, Cloud Run, CI/CD templates
Qdrant Docker GitHub
FastAPI Python LangChain LangGraph React (TS)
6 months
2025-07 - now

MLOps Extension (AWS SageMaker)

Python FastAPI LangChain ...

Independent & Open-Source AI Platform Engineering

  • Outlined a SageMaker-based MLOps architecture to support model training, versioning, and controlled inference lifecycles for SDA workflows
  • Conceptualized pipeline patterns for experimentation, validation, and promotion, aligned with existing FastAPI-based inference services
  • Identified cost-aware design principles, including ephemeral training jobs and shortlived endpoints, to guide future implementation
  • Architecture concept finalized; implementation planned to start in Jan 2026

AWS Docker
Python FastAPI LangChain CI/CD
6 months
2025-07 - now

Dealflow Data Platform ? AI-Augmented Graph Intelligence System

Node.js React (TS) LangChain ...

  • Independent & Open-Source AI Platform Engineering 
  • A hybrid graph + vector AI platform providing natural-language analytics on startups, investors, and market relationships
    • Architected Neo4j + Weaviate + LangChain based AI knowledge system.
    • Built NL ? Cypher ? Graph Query Engine enabling multi-hop relationship insights.
    • Implemented Vector RAG search for ranked investor/startup intelligence.
    • Designed multi-agent orchestration with Prometheus-based observability.
    • Delivered microservices, Traefik routing, Redis caching, and React AI dashboards.
    • Built Semantic Search (Vector RAG) using Weaviate + OpenAI embeddings, returning ranked startup/investor insights.
    • Developed Hybrid AI pipeline merging graph results + vector context + GPT-4o synthesis for multi-hop queries
Neo4j Weaviate GPT-4o Docker GitHub
Node.js React (TS) LangChain LangGraph
6 months
2025-07 - now

MLOps Extension (GCP Vertex AI)

LangChain

Independent & Open-Source AI Platform Engineering 

  • Outlined a phased MLOps architecture to extend the existing Dealflow platform using GCP Vertex AI
  • Conceptualized Vertex AI pipeline patterns for feature extraction, embedding generation, batch inference, and scheduled retraining workflows
  • Planned integration approach between Cloud Run?based inference services and managed vector search options
  • Identified on-demand, cost-controlled execution patterns to avoid always-on ML endpoints
  • Architecture concept finalized; pilot implementation planned to start in Jan 2026

GCP Vertex AI Cloud Run Neo4j Weaviate Docker
LangChain
6 months
2025-07 - now

NVIDIA AI Platform ? LLM & RAG System Design

Python LangChain Vector Databases ...

Independent & Open-Source AI Platform Engineering 

  • Designing and implementing an enterprise-grade LLM and Retrieval-Augmented Generation (RAG) platform aligned with NVIDIA AI platform best practices, with focus on scalability, modularity, and production readiness
    • Developing end-to-end AI workflows covering data ingestion, document chunking, embedding generation, vector indexing, retrieval, and LLM response synthesis
    • Implementing agent-based orchestration patterns (retriever, reasoning, synthesis agents) using LangChain/LangGraph concepts to support extensible, multi-step reasoning pipelines
    • Building scalable inference architecture with clear separation between control plane (API orchestration) and inference plane (model execution), designed for GPUaccelerated environments
    • Applying cloud-native AI design principles including stateless services, horizontal scaling, and on-demand execution to enable cost-controlled AI workloads
    • Integrating observability-first design, defining and instrumenting metrics for retrieval latency, inference performance, agent execution paths, and system health
    • Producing detailed technical design artifacts (architecture diagrams, request?response flows, deployment models) alongside evolving README and implementation documentation
    • Designing production deployment strategies covering containerization, service boundaries, monitoring hooks, and extensibility within the NVIDIA AI ecosystem
    • Addressing enterprise-grade requirements such as reliability, traceability, explainability, and long-term maintainability throughout the implementation lifecycle
NVIDIA AI Ecosystem
Python LangChain Vector Databases Cloud-Native Architecture Observability & Deployment Design
9 months
2024-10 - 2025-06

Debitos ? AI-enabled Data Workflow Platform (Germany)

Full stack developer Python FastAPI React ...
Full stack developer
  • Designed and implemented a scalable, version-controlled data workflow and mapping platform for enterprise users
  • Architected frontend applications using React, TypeScript, and modern UI frameworks to support complex multi-step workflows
  • Refactored core business logic from frontend to backend using FastAPI and SQLAlchemy to improve performance and maintainability
  • Implemented secure REST APIs with JWT authentication, schema validation, and robust error handling
  • Integrated AI-assisted workflows (RAG-based prototypes) to enhance data search, transformation, and usability
  • Collaborated closely with product, finance, and engineering teams and mentored junior developers
FastAPI React PostgreSQL
Python FastAPI React TypeScript REST APIs Application Architecture
Debitos Gmbh
Germany
1 year 8 months
2022-12 - 2024-07

Breakwater Solutions ? Enterprise SaaS Platform Development (Germany)

Senior Software Developer Python React GraphQL ...
Senior Software Developer
  • Developed and maintained frontend components for a large-scale enterprise SaaS platform using React and modern UI frameworks
  • Designed and optimized backend services using FastAPI and GraphQL to support secure and scalable workflows
  • Implemented asynchronous processing using message queues to improve system throughput and reliability
  • Enhanced system performance through API optimization, caching strategies, and database tuning
  • Established automated testing practices and supported CI/CD pipelines to improve software quality
  • Worked in an agile environment and contributed to architectural decisions and technical documentation
React FastAPI GraphQL AWS
Python React GraphQL Cloud Architecture Microservices CI/CD
Breakwater Solutions Germany GmbH
Germany

Aus- und Weiterbildung

Aus- und Weiterbildung

1 year 2 months
2025-11 - 2026-12

Generative AI / RAG & Agentic AI

IBM ? Generative AI / RAG & Agentic AI, IBM, USA
IBM ? Generative AI / RAG & Agentic AI
IBM, USA
2 months
2025-11 - 2025-12

Neo4j Professional

Neo4j Certified Professional, USA
Neo4j Certified Professional
USA
1 month
2025-10 - 2025-10

Introduction to LangGraph

Introduction to langGraph, USA
Introduction to langGraph
USA
  • Introduction to LangGraph
  • Develop AI Agents with LangChain & LangGraph
1 month
2025-10 - 2025-10

ActiveLoop / GenAI 360

LangChain & Vector Databases in Production, USA
LangChain & Vector Databases in Production
USA
3 years
2005-01 - 2007-12

Post Graduate

MCA, IGNOU , Delhi
MCA
IGNOU , Delhi
Software Engineering, Data Structures & Algorithms, Database Management Systems,
Object-Oriented Programming, Web Application Development, Distributed Systems,
Systems Analysis and Design

Position

Position

  • Senior IT Consultant
  • Senior Platform Engineer
  • AI Platform Engineer - Cloud, CI/CD, DevOps, Generative AI

Kompetenzen

Kompetenzen

Top-Skills

Python FastAPI Application Architecture AI Solution Architecture Generative AI LangChain LangGraph RAG REST APIs React TypeScript PostgreSQL Neo4j Vector Databases Cloud Archiecture AWS Google Cloud Platform Docker Kubernetes Microservices CI/CD enterprise applications

Aufgabenbereiche

Application Archiecture
System Design
Backend Development
Full Stack Development

Produkte / Standards / Erfahrungen / Methoden

REST APIS
Microservices
Cloud Archiecture
CI/CD
Agile / Scrum
Profile:
  • Senior Full Stack & Cloud Engineer with 20 years of global experience delivering scalable, cloudnative, and AI-driven platforms
  • Specialized in LangChain, LangGraph, and Retrieval-Augmented Generation (RAG) systems using FastAPI, React, and Neo4j
  • Experienced across AWS, GCP, and Azure, combining full-stack engineering with LLM-based automation to build intelligent, data-driven solutions
  • Currently extending production-grade AI platforms with phased, cost-aware MLOps architectures using GCP Vertex AI and AWS SageMaker


Frontend:

ReactJS, Redux, JavaScript, Node.js(Express), HTML, CSS, SCSS


UI Frameworks:

Material UI, Carbon Components, Ant Design, Tailwind CSS, Bootstrap


Backend & APIs:

Python, Django, Flask, FastAPI, DRF, GraphQL, Apollo, Postman, Swagger, SoapUI


Cloud/DevOps:

AWS, Azure, GCP Cloud Run, Docker, Kubernetes, Terraform, Git, SVN, TFS, CI/CD pipelines


AI/ML & Generative AI:

LangChain, LangGraph, RAG (Retrieval-Augmented Generation), OpenAI API, TensorFlow.js, Vector Databases, Pandas, Neo4j Graph Workflows


Testing:

Pytest, PyUnit, Jest, Mocha/Chai, xUnit/NUnit


Monitoring:

Grafana, OpenTelemetry, DataDog


Professional background:

10/2024 ? 06/2025:
Place of Work: Germany
Role: Senior Fullstack Developer
Customer: Debitos


Tasks:

  • Architected multi-screen data workflow with Nextjs/ React/ TS, boosting mapping speed by 50%
  • Refactored backend into FastAPI + SQLAlchemy, reducing memory use by 45%
  • Integrated LangChain & LangGraph workflows with Pinecone vector DB to enable semiautomated data mapping and LLM-powered search
  • Built RAG-powered workflows integrating LangChain + Pinecone, enabling LLM-augmented data search
  • Containerized backend services (FastAPI/Node.js) and React/TypeScript frontend, aligning with production-ready architecture and CI/CD pipelines


12/2022 ? 07/2024:
Place of Work: Germany
Role: Senior Fullstack Developer
Customer: Breakwater Solutions


Tasks:

  • Built ReactJS components with AWS Cognito & S3, increasing engagement 15%
  • Optimized GraphQL with DataLoader, improving performance by 35%
  • Integrated RabbitMQ + FastAPI for async workflows; scaled submissions 35


02/2016 ? 08/2022:
Place of Work: India 
Role: Project Lead
Customer: Persistent Systems


Tasks:

  • Enhanced React/Redux UI performance by 35% via lazy loading and code-splitting
  • Built Django REST APIs with Redis caching, cutting response times 60%
  • Refactored PostgreSQL queries; reduced API latency from 5 mins to under 2 mins


10/2007 ? 01/2016:
Place of Work: India 
Role: Senior System Analyst 
Customer: Atos


Tasks:

  • Developed scalable Django/Flask APIs, boosting backend performance 30%
  • Migrated data pipelines to Azure Data Factory, reducing ETL time 40%
  • Deployed containerized services with Docker/Kubernetes for isolation


02/2007 ? 06/2007:
Place of Work: India 
Role: System Analyst 
Customer: Deloitte


03/2006 ? 02/2007:
Place of Work: India 
Role: Senior Software Engineer 
Customer: Praxis Interactive


12/2001 ? 11/2004:
Place of Work: India 
Role: Technical Consultant 
Customer: Systime Pvt Ltd


10/2000 ? 10/2001:
Place of Work: India 
Role: Junior Software Engineer
Customer: Silicon Interfaces

Programmiersprachen

Python
Javascript
SQL

Datenbanken

PostgreSQL
SQL Server
MongoDB
Neo4j
Redis
Qdrant
Pinecone
Weaviate
Azure SQL
Oracle 12g
MongoDB Atlas
Memcached
Neo4J Aura

Einsatzorte

Einsatzorte

Deutschland, Schweiz, Österreich
möglich

Projekte

Projekte

3 months
2025-10 - now

Open Source ? AI-powered Graph & RAG Platform

Solution Architect / Lead Developer Generative AI LangChain RAG ...
Solution Architect / Lead Developer
  • Designed and developed multiple open-source, AI-powered platforms focused on RAG and developer productivity
  • Built Smart Developer Assistant (SDA) using FastAPI, LangChain, Qdrant, and React to support code generation and documentation workflows
  • Implemented Dealflow Data Platform using Node.js, React, Neo4j, and LangChain for AI-assisted graph data modeling and natural language querying
  • Extended the architecture with NVIDIA-optimized components for GPU-accelerated inference and embedding workflows starting January
  • Designed modular, cloud-ready architectures with containerized deployment and clear separation of concerns
  • Authored technical documentation and maintained public repositories to support community usage and learning
LangChain Neo4j FastAPI NVIDIA AI Stack
Generative AI LangChain RAG Neo4j Vector Databases Cloud Architecture
Open Source Project
6 months
2025-07 - now

AI Code Intelligence & Automation Platform

Smart Developer Assistant (SDA) FastAPI Python LangChain ...
Smart Developer Assistant (SDA)
Independent & Open-Source AI Platform Engineering
  • A full-stack, multi-agent AI system that automates code understanding, architecture summarization, refactoring, and deployment artifact generation
  • Designed modular AI architecture integrating RAG retrieval, multi-agent reasoning and full-stack UX
  • Built ingestion ? chunking ? embedding pipeline with Qdrant vector collections
  • Implemented multi-agent workflow (Retriever ? Analyzer ? Refactor ? DevOps)
  • Developed interactive dashboards for code insights, GitHub integration, and agent tracing.
  • Delivered complete deployment automation: Docker, K8s manifests, Cloud Run, CI/CD templates
Qdrant Docker GitHub
FastAPI Python LangChain LangGraph React (TS)
6 months
2025-07 - now

MLOps Extension (AWS SageMaker)

Python FastAPI LangChain ...

Independent & Open-Source AI Platform Engineering

  • Outlined a SageMaker-based MLOps architecture to support model training, versioning, and controlled inference lifecycles for SDA workflows
  • Conceptualized pipeline patterns for experimentation, validation, and promotion, aligned with existing FastAPI-based inference services
  • Identified cost-aware design principles, including ephemeral training jobs and shortlived endpoints, to guide future implementation
  • Architecture concept finalized; implementation planned to start in Jan 2026

AWS Docker
Python FastAPI LangChain CI/CD
6 months
2025-07 - now

Dealflow Data Platform ? AI-Augmented Graph Intelligence System

Node.js React (TS) LangChain ...

  • Independent & Open-Source AI Platform Engineering 
  • A hybrid graph + vector AI platform providing natural-language analytics on startups, investors, and market relationships
    • Architected Neo4j + Weaviate + LangChain based AI knowledge system.
    • Built NL ? Cypher ? Graph Query Engine enabling multi-hop relationship insights.
    • Implemented Vector RAG search for ranked investor/startup intelligence.
    • Designed multi-agent orchestration with Prometheus-based observability.
    • Delivered microservices, Traefik routing, Redis caching, and React AI dashboards.
    • Built Semantic Search (Vector RAG) using Weaviate + OpenAI embeddings, returning ranked startup/investor insights.
    • Developed Hybrid AI pipeline merging graph results + vector context + GPT-4o synthesis for multi-hop queries
Neo4j Weaviate GPT-4o Docker GitHub
Node.js React (TS) LangChain LangGraph
6 months
2025-07 - now

MLOps Extension (GCP Vertex AI)

LangChain

Independent & Open-Source AI Platform Engineering 

  • Outlined a phased MLOps architecture to extend the existing Dealflow platform using GCP Vertex AI
  • Conceptualized Vertex AI pipeline patterns for feature extraction, embedding generation, batch inference, and scheduled retraining workflows
  • Planned integration approach between Cloud Run?based inference services and managed vector search options
  • Identified on-demand, cost-controlled execution patterns to avoid always-on ML endpoints
  • Architecture concept finalized; pilot implementation planned to start in Jan 2026

GCP Vertex AI Cloud Run Neo4j Weaviate Docker
LangChain
6 months
2025-07 - now

NVIDIA AI Platform ? LLM & RAG System Design

Python LangChain Vector Databases ...

Independent & Open-Source AI Platform Engineering 

  • Designing and implementing an enterprise-grade LLM and Retrieval-Augmented Generation (RAG) platform aligned with NVIDIA AI platform best practices, with focus on scalability, modularity, and production readiness
    • Developing end-to-end AI workflows covering data ingestion, document chunking, embedding generation, vector indexing, retrieval, and LLM response synthesis
    • Implementing agent-based orchestration patterns (retriever, reasoning, synthesis agents) using LangChain/LangGraph concepts to support extensible, multi-step reasoning pipelines
    • Building scalable inference architecture with clear separation between control plane (API orchestration) and inference plane (model execution), designed for GPUaccelerated environments
    • Applying cloud-native AI design principles including stateless services, horizontal scaling, and on-demand execution to enable cost-controlled AI workloads
    • Integrating observability-first design, defining and instrumenting metrics for retrieval latency, inference performance, agent execution paths, and system health
    • Producing detailed technical design artifacts (architecture diagrams, request?response flows, deployment models) alongside evolving README and implementation documentation
    • Designing production deployment strategies covering containerization, service boundaries, monitoring hooks, and extensibility within the NVIDIA AI ecosystem
    • Addressing enterprise-grade requirements such as reliability, traceability, explainability, and long-term maintainability throughout the implementation lifecycle
NVIDIA AI Ecosystem
Python LangChain Vector Databases Cloud-Native Architecture Observability & Deployment Design
9 months
2024-10 - 2025-06

Debitos ? AI-enabled Data Workflow Platform (Germany)

Full stack developer Python FastAPI React ...
Full stack developer
  • Designed and implemented a scalable, version-controlled data workflow and mapping platform for enterprise users
  • Architected frontend applications using React, TypeScript, and modern UI frameworks to support complex multi-step workflows
  • Refactored core business logic from frontend to backend using FastAPI and SQLAlchemy to improve performance and maintainability
  • Implemented secure REST APIs with JWT authentication, schema validation, and robust error handling
  • Integrated AI-assisted workflows (RAG-based prototypes) to enhance data search, transformation, and usability
  • Collaborated closely with product, finance, and engineering teams and mentored junior developers
FastAPI React PostgreSQL
Python FastAPI React TypeScript REST APIs Application Architecture
Debitos Gmbh
Germany
1 year 8 months
2022-12 - 2024-07

Breakwater Solutions ? Enterprise SaaS Platform Development (Germany)

Senior Software Developer Python React GraphQL ...
Senior Software Developer
  • Developed and maintained frontend components for a large-scale enterprise SaaS platform using React and modern UI frameworks
  • Designed and optimized backend services using FastAPI and GraphQL to support secure and scalable workflows
  • Implemented asynchronous processing using message queues to improve system throughput and reliability
  • Enhanced system performance through API optimization, caching strategies, and database tuning
  • Established automated testing practices and supported CI/CD pipelines to improve software quality
  • Worked in an agile environment and contributed to architectural decisions and technical documentation
React FastAPI GraphQL AWS
Python React GraphQL Cloud Architecture Microservices CI/CD
Breakwater Solutions Germany GmbH
Germany

Aus- und Weiterbildung

Aus- und Weiterbildung

1 year 2 months
2025-11 - 2026-12

Generative AI / RAG & Agentic AI

IBM ? Generative AI / RAG & Agentic AI, IBM, USA
IBM ? Generative AI / RAG & Agentic AI
IBM, USA
2 months
2025-11 - 2025-12

Neo4j Professional

Neo4j Certified Professional, USA
Neo4j Certified Professional
USA
1 month
2025-10 - 2025-10

Introduction to LangGraph

Introduction to langGraph, USA
Introduction to langGraph
USA
  • Introduction to LangGraph
  • Develop AI Agents with LangChain & LangGraph
1 month
2025-10 - 2025-10

ActiveLoop / GenAI 360

LangChain & Vector Databases in Production, USA
LangChain & Vector Databases in Production
USA
3 years
2005-01 - 2007-12

Post Graduate

MCA, IGNOU , Delhi
MCA
IGNOU , Delhi
Software Engineering, Data Structures & Algorithms, Database Management Systems,
Object-Oriented Programming, Web Application Development, Distributed Systems,
Systems Analysis and Design

Position

Position

  • Senior IT Consultant
  • Senior Platform Engineer
  • AI Platform Engineer - Cloud, CI/CD, DevOps, Generative AI

Kompetenzen

Kompetenzen

Top-Skills

Python FastAPI Application Architecture AI Solution Architecture Generative AI LangChain LangGraph RAG REST APIs React TypeScript PostgreSQL Neo4j Vector Databases Cloud Archiecture AWS Google Cloud Platform Docker Kubernetes Microservices CI/CD enterprise applications

Aufgabenbereiche

Application Archiecture
System Design
Backend Development
Full Stack Development

Produkte / Standards / Erfahrungen / Methoden

REST APIS
Microservices
Cloud Archiecture
CI/CD
Agile / Scrum
Profile:
  • Senior Full Stack & Cloud Engineer with 20 years of global experience delivering scalable, cloudnative, and AI-driven platforms
  • Specialized in LangChain, LangGraph, and Retrieval-Augmented Generation (RAG) systems using FastAPI, React, and Neo4j
  • Experienced across AWS, GCP, and Azure, combining full-stack engineering with LLM-based automation to build intelligent, data-driven solutions
  • Currently extending production-grade AI platforms with phased, cost-aware MLOps architectures using GCP Vertex AI and AWS SageMaker


Frontend:

ReactJS, Redux, JavaScript, Node.js(Express), HTML, CSS, SCSS


UI Frameworks:

Material UI, Carbon Components, Ant Design, Tailwind CSS, Bootstrap


Backend & APIs:

Python, Django, Flask, FastAPI, DRF, GraphQL, Apollo, Postman, Swagger, SoapUI


Cloud/DevOps:

AWS, Azure, GCP Cloud Run, Docker, Kubernetes, Terraform, Git, SVN, TFS, CI/CD pipelines


AI/ML & Generative AI:

LangChain, LangGraph, RAG (Retrieval-Augmented Generation), OpenAI API, TensorFlow.js, Vector Databases, Pandas, Neo4j Graph Workflows


Testing:

Pytest, PyUnit, Jest, Mocha/Chai, xUnit/NUnit


Monitoring:

Grafana, OpenTelemetry, DataDog


Professional background:

10/2024 ? 06/2025:
Place of Work: Germany
Role: Senior Fullstack Developer
Customer: Debitos


Tasks:

  • Architected multi-screen data workflow with Nextjs/ React/ TS, boosting mapping speed by 50%
  • Refactored backend into FastAPI + SQLAlchemy, reducing memory use by 45%
  • Integrated LangChain & LangGraph workflows with Pinecone vector DB to enable semiautomated data mapping and LLM-powered search
  • Built RAG-powered workflows integrating LangChain + Pinecone, enabling LLM-augmented data search
  • Containerized backend services (FastAPI/Node.js) and React/TypeScript frontend, aligning with production-ready architecture and CI/CD pipelines


12/2022 ? 07/2024:
Place of Work: Germany
Role: Senior Fullstack Developer
Customer: Breakwater Solutions


Tasks:

  • Built ReactJS components with AWS Cognito & S3, increasing engagement 15%
  • Optimized GraphQL with DataLoader, improving performance by 35%
  • Integrated RabbitMQ + FastAPI for async workflows; scaled submissions 35


02/2016 ? 08/2022:
Place of Work: India 
Role: Project Lead
Customer: Persistent Systems


Tasks:

  • Enhanced React/Redux UI performance by 35% via lazy loading and code-splitting
  • Built Django REST APIs with Redis caching, cutting response times 60%
  • Refactored PostgreSQL queries; reduced API latency from 5 mins to under 2 mins


10/2007 ? 01/2016:
Place of Work: India 
Role: Senior System Analyst 
Customer: Atos


Tasks:

  • Developed scalable Django/Flask APIs, boosting backend performance 30%
  • Migrated data pipelines to Azure Data Factory, reducing ETL time 40%
  • Deployed containerized services with Docker/Kubernetes for isolation


02/2007 ? 06/2007:
Place of Work: India 
Role: System Analyst 
Customer: Deloitte


03/2006 ? 02/2007:
Place of Work: India 
Role: Senior Software Engineer 
Customer: Praxis Interactive


12/2001 ? 11/2004:
Place of Work: India 
Role: Technical Consultant 
Customer: Systime Pvt Ltd


10/2000 ? 10/2001:
Place of Work: India 
Role: Junior Software Engineer
Customer: Silicon Interfaces

Programmiersprachen

Python
Javascript
SQL

Datenbanken

PostgreSQL
SQL Server
MongoDB
Neo4j
Redis
Qdrant
Pinecone
Weaviate
Azure SQL
Oracle 12g
MongoDB Atlas
Memcached
Neo4J Aura

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