WS, GenAI, Amazon Bedrock, AgentCore, RAG evaluation, observability, security, infrastructure as code, AWS CDK, Python, React, Full Stack 100% remote
Aktualisiert am 14.09.2026
Profil
Freiberufler / Selbstständiger
Remote-Arbeit
Verfügbar ab: 21.09.2026
Verfügbar zu: 25%
davon vor Ort: 0%
AWS
Python
GenAI
IaC
Network
Security
React
Full Stack Development
Cloud
French
Grundkenntnisse
English
Fluent
Spanish
Grundkenntnisse
Italian
Muttersprache
Portuguese
Grundkenntnisse

Einsatzorte

Einsatzorte

Brindisi (+50km)
Deutschland, Schweiz, Österreich
möglich

Projekte

Projekte

4 years 4 months
2022-06 - now

Built and evolved an AWS-hosted RAG platform

AWS AI & AI Infrastructure Engineer
AWS AI & AI Infrastructure Engineer
  • Built and evolved an AWS-hosted RAG platform with a React frontend on CloudFront and a containerized FastAPI backend on ECS Fargate, connected to Aurora for end-to-end ingestion workflows, LLM integrations, and operational visibility.
  • Expanded ingestion to support both text-based and scanned PDFs, adding Docling and AWS Nova Pro-based document understanding to improve semantic extraction and retrieval quality on low-coverage documents.
  • Revamped the ingestion layer with automated reconciliation, gap analysis, and real-time monitoring, improving data freshness, pipeline visibility, and downstream AI reliability.
  • Strengthened observability with AWS CloudWatch and X-Ray, ingesting telemetry and traces for real-time ingestion monitoring, threshold-based alerting, and faster issue detection across the RAG pipeline.
  • Improved RAG latency and retrieval efficiency through caching and retrieval optimizations, including pg_prewarm to fully warm the HNSW index, delivering about 80% faster semantic-search response times on retrieval paths.
  • Designed metadata editing, audit-trail, and collection-scoping capabilities, improving transparency and enabling more precise queries across targeted financial datasets.
  • Introduced RAG evaluation workflows with RAGAS to measure retrieval and answer quality, support regression detection, and improve overall RAG reliability.
Remote
5 months
2021-08 - 2021-12

Refactored Django/JS stack

Network Automation Engineer
Network Automation Engineer
  • Refactored Django/JS stack at Fiserv, cutting page load times by 40-60%, PostgreSQL CPU usage by ~30%, and API response times to under 200ms.
  • Automated network infrastructure deployments with Ansible playbooks, cutting per-site rollout time from weeks to hours and eliminating manual configuration errors.
Fiserv
Ireland
4 years 5 months
2017-04 - 2021-08

Engineered internal self-service tooling

Network Development Engineer II
Network Development Engineer II
  • Engineered internal self-service tooling (React + Python) adopted by Amazon's global datacenter network teams - eliminating hours of manual operations per week per deployment cycle.
  • Designed and delivered a zero-touch pre-provisioning platform (Python, EC2, S3) for L7 hardware - reducing per-rack deployment time from weeks to hours across thousands of devices.
  • Optimized internal dashboards with multithreaded ingestion logic, increasing throughput by ~40%.
Amazon Web Services (AWS)
Dublin, Ireland
1 year 9 months
2015-08 - 2017-04

Aggregation Scaling & Deployment program

Network Deployment Engineer I
Network Deployment Engineer I
  • Scaled Amazon's global datacenter network under the Aggregation Scaling & Deployment program, increasing capacity by ~30% via spine scaling templates across multiple regions.
  • Developed Python automation scripts and Jinja templates for network provisioning workflows - reducing pre-deployment manual steps and accelerating network readiness across global datacenters.
  • Resolved bugs in global network automation systems with fleet-wide impact; contributed unit-tested improvements to shared internal Python libraries.
Amazon Web Services (AWS)
Dublin, Ireland
11 years 4 months
2004-04 - 2015-07

Led EU/UK datacenter consolidation and AD migrations

Network & Systems Engineer
Network & Systems Engineer
  • Led EU/UK datacenter consolidation and AD migrations, cutting authentication latency by 40%.
  • Reduced workstation provisioning time from 40 min to under 5 min via VMware automation.
  • Automated Cisco provisioning and L2 security hardening across EU/UK sites: DHCP Snooping and Spanning Tree.
Parker Hannifin
Milan, Italy
2 years 4 months
2002-01 - 2004-04

Implemented and tuned enterprise security stack

Security Consultant
Security Consultant
  • Implemented and tuned enterprise security stack (IDS/IPS, endpoint protection, incident response) across on-premises networks for SMB clients.
  • Advised clients on L2 network segmentation design and switch hardening - delivering new VLAN architectures, access control policies, and L2 security configurations across on-premises environments.
Milan, Italy

Aus- und Weiterbildung

Aus- und Weiterbildung

Certifications
  • AWS Certified Generative AI Developer - Professional
  • AWS Certified Solutions Architect - Associate
  • AWS Certified AI Practitioner
  • AWS Knowledge Badge: Amazon EKS
  • Cisco Certified Network Professional (CCNP)

Position

Position

Freelance - AWS and GenAI / Infra engineer

Kompetenzen

Kompetenzen

Top-Skills

AWS Python GenAI IaC Network Security React Full Stack Development Cloud

Produkte / Standards / Erfahrungen / Methoden

Profile

Hands-on AWS AI & Infrastructure Engineer with 20+ years of infrastructure experience, including 6 years at Amazon Web Services (Dublin). Since 2022, I have focused on AI systems and infrastructure, with hands-on work on GenAI platforms spanning RAG pipelines, LLM integrations, vector retrieval, observability, and RAG evaluation. Strong in Python, FastAPI, AWS-native AI infrastructure, and end-to-end delivery from architecture to production.


Skills

Cloud & AI:

  • AWS
    • Bedrock
    • Lambda
    • S3
    • API Gateway
    • EC2
    • IAM
    • Route 53
    • CloudFront


GenAI & Retrieval:

  • LLMs
  • RAG
  • Bedrock Knowledge Bases
  • pgvector
  • Prompt Engineering
  • AI Agents
  • Evaluation


Backend & Delivery:

  • Python
  • FastAPI
  • PostgreSQL
  • DynamoDB
  • SQS
  • GitHub Actions
  • CI/CD
  • Docker
  • CloudWatch
  • X-Ray
  • Git


Security & Governance:

  • IAM
  • KMS
  • WAF
  • GuardDuty
  • Cognito
  • Inspector
  • DevSecOps


Work Experience

  • Atlas AI RAG Platform - Financial Document Q&A on AWS
  • Built a production-oriented GenAI platform on Amazon Bedrock with pgvector retrieval, grounded answers, provider routing, and cost-aware inference.
  • Added event-driven ingestion, observability, and security controls for an end-to-end AWS AI use case.

Programmiersprachen

AWS
Experte
Python
Experte
Cloud
Experte
LLMs
Fortgeschritten
GenAI
Fortgeschritten

Einsatzorte

Einsatzorte

Brindisi (+50km)
Deutschland, Schweiz, Österreich
möglich

Projekte

Projekte

4 years 4 months
2022-06 - now

Built and evolved an AWS-hosted RAG platform

AWS AI & AI Infrastructure Engineer
AWS AI & AI Infrastructure Engineer
  • Built and evolved an AWS-hosted RAG platform with a React frontend on CloudFront and a containerized FastAPI backend on ECS Fargate, connected to Aurora for end-to-end ingestion workflows, LLM integrations, and operational visibility.
  • Expanded ingestion to support both text-based and scanned PDFs, adding Docling and AWS Nova Pro-based document understanding to improve semantic extraction and retrieval quality on low-coverage documents.
  • Revamped the ingestion layer with automated reconciliation, gap analysis, and real-time monitoring, improving data freshness, pipeline visibility, and downstream AI reliability.
  • Strengthened observability with AWS CloudWatch and X-Ray, ingesting telemetry and traces for real-time ingestion monitoring, threshold-based alerting, and faster issue detection across the RAG pipeline.
  • Improved RAG latency and retrieval efficiency through caching and retrieval optimizations, including pg_prewarm to fully warm the HNSW index, delivering about 80% faster semantic-search response times on retrieval paths.
  • Designed metadata editing, audit-trail, and collection-scoping capabilities, improving transparency and enabling more precise queries across targeted financial datasets.
  • Introduced RAG evaluation workflows with RAGAS to measure retrieval and answer quality, support regression detection, and improve overall RAG reliability.
Remote
5 months
2021-08 - 2021-12

Refactored Django/JS stack

Network Automation Engineer
Network Automation Engineer
  • Refactored Django/JS stack at Fiserv, cutting page load times by 40-60%, PostgreSQL CPU usage by ~30%, and API response times to under 200ms.
  • Automated network infrastructure deployments with Ansible playbooks, cutting per-site rollout time from weeks to hours and eliminating manual configuration errors.
Fiserv
Ireland
4 years 5 months
2017-04 - 2021-08

Engineered internal self-service tooling

Network Development Engineer II
Network Development Engineer II
  • Engineered internal self-service tooling (React + Python) adopted by Amazon's global datacenter network teams - eliminating hours of manual operations per week per deployment cycle.
  • Designed and delivered a zero-touch pre-provisioning platform (Python, EC2, S3) for L7 hardware - reducing per-rack deployment time from weeks to hours across thousands of devices.
  • Optimized internal dashboards with multithreaded ingestion logic, increasing throughput by ~40%.
Amazon Web Services (AWS)
Dublin, Ireland
1 year 9 months
2015-08 - 2017-04

Aggregation Scaling & Deployment program

Network Deployment Engineer I
Network Deployment Engineer I
  • Scaled Amazon's global datacenter network under the Aggregation Scaling & Deployment program, increasing capacity by ~30% via spine scaling templates across multiple regions.
  • Developed Python automation scripts and Jinja templates for network provisioning workflows - reducing pre-deployment manual steps and accelerating network readiness across global datacenters.
  • Resolved bugs in global network automation systems with fleet-wide impact; contributed unit-tested improvements to shared internal Python libraries.
Amazon Web Services (AWS)
Dublin, Ireland
11 years 4 months
2004-04 - 2015-07

Led EU/UK datacenter consolidation and AD migrations

Network & Systems Engineer
Network & Systems Engineer
  • Led EU/UK datacenter consolidation and AD migrations, cutting authentication latency by 40%.
  • Reduced workstation provisioning time from 40 min to under 5 min via VMware automation.
  • Automated Cisco provisioning and L2 security hardening across EU/UK sites: DHCP Snooping and Spanning Tree.
Parker Hannifin
Milan, Italy
2 years 4 months
2002-01 - 2004-04

Implemented and tuned enterprise security stack

Security Consultant
Security Consultant
  • Implemented and tuned enterprise security stack (IDS/IPS, endpoint protection, incident response) across on-premises networks for SMB clients.
  • Advised clients on L2 network segmentation design and switch hardening - delivering new VLAN architectures, access control policies, and L2 security configurations across on-premises environments.
Milan, Italy

Aus- und Weiterbildung

Aus- und Weiterbildung

Certifications
  • AWS Certified Generative AI Developer - Professional
  • AWS Certified Solutions Architect - Associate
  • AWS Certified AI Practitioner
  • AWS Knowledge Badge: Amazon EKS
  • Cisco Certified Network Professional (CCNP)

Position

Position

Freelance - AWS and GenAI / Infra engineer

Kompetenzen

Kompetenzen

Top-Skills

AWS Python GenAI IaC Network Security React Full Stack Development Cloud

Produkte / Standards / Erfahrungen / Methoden

Profile

Hands-on AWS AI & Infrastructure Engineer with 20+ years of infrastructure experience, including 6 years at Amazon Web Services (Dublin). Since 2022, I have focused on AI systems and infrastructure, with hands-on work on GenAI platforms spanning RAG pipelines, LLM integrations, vector retrieval, observability, and RAG evaluation. Strong in Python, FastAPI, AWS-native AI infrastructure, and end-to-end delivery from architecture to production.


Skills

Cloud & AI:

  • AWS
    • Bedrock
    • Lambda
    • S3
    • API Gateway
    • EC2
    • IAM
    • Route 53
    • CloudFront


GenAI & Retrieval:

  • LLMs
  • RAG
  • Bedrock Knowledge Bases
  • pgvector
  • Prompt Engineering
  • AI Agents
  • Evaluation


Backend & Delivery:

  • Python
  • FastAPI
  • PostgreSQL
  • DynamoDB
  • SQS
  • GitHub Actions
  • CI/CD
  • Docker
  • CloudWatch
  • X-Ray
  • Git


Security & Governance:

  • IAM
  • KMS
  • WAF
  • GuardDuty
  • Cognito
  • Inspector
  • DevSecOps


Work Experience

  • Atlas AI RAG Platform - Financial Document Q&A on AWS
  • Built a production-oriented GenAI platform on Amazon Bedrock with pgvector retrieval, grounded answers, provider routing, and cost-aware inference.
  • Added event-driven ingestion, observability, and security controls for an end-to-end AWS AI use case.

Programmiersprachen

AWS
Experte
Python
Experte
Cloud
Experte
LLMs
Fortgeschritten
GenAI
Fortgeschritten

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