AI/ML Engineer with experience in building and deploying autonomous, production-grade AI systems in regulated domains like life sciences.
Aktualisiert am 17.11.2025
Profil
Freiberufler / Selbstständiger
Remote-Arbeit
Verfügbar ab: 17.11.2025
Verfügbar zu: 100%
davon vor Ort: 100%
Python
LLMs
Machine Learning
Data Engineer
SQL
Data Mining
Docker
Data Visualization
GCP
Streamlit
CI/CD (GitHub Actions)
dbt
Data Transformation
GitHub
R
English
C1 ? Professional Proficiency
German
B1 ? Currently enrolled at Abendakademie Mannheim, aiming for B2 to support business communication

Einsatzorte

Einsatzorte

Deutschland
möglich

Projekte

Projekte

9 months
2024-10 - 2025-06

Built and deployed a production-grade AI system

AI ML Engineer - Master?s Thesis & Internship
AI ML Engineer - Master?s Thesis & Internship

  • Built and deployed a production-grade AI system to analyze unstructured data from user manuals of clinical equipment, automating information extraction, document question answering, and decision making.
  • Engineered an end-to-end RAG pipeline leveraging GPT-4o, OpenAI embeddings, and Pinecone, including prompt engineering for optimized answer generation, covering document ingestion, chunking, embedding, retrieval, and response generation.
  • Benchmarked multiple tools across extraction, embedding, and vector search stages using BERTScore and Precision@N, leading to improved response relevance.
  • Collaborated with cross-functional stakeholders across teams to gather user requirements and to track project progress, following the Agile framework for iterative development and regular feedback.
  • Utilized Docker Dev Containers to enable isolated, reproducible development environments.
  • Designed and developed a Streamlit application that integrates the entire project pipeline ? from data ingestion to AI answer generation.
  • Impact: Saved 36 hours/month by automating document question-answering previously done manually.

AbbVie Deutschland GmbH & Co. KG., Ludwigshafen, Germany
6 months
2024-04 - 2024-09

Designed and developed a BERT-based text classification data pipeline

Working Student - LLMs & Automation
Working Student - LLMs & Automation

  • Designed and developed a BERT-based text classification data pipeline to automatically fetch, preprocess, and categorize regulatory notifications, enabling faster and better decision-making.

  • Evaluated machine learning models for text classification using Accuracy and F1 scores, and applied Grid Search for hyperparameter tuning to improve classification performance.
  • Containerized the AI application using Docker for host-independent deployment.
  • Impact: Reduced the delivery of irrelevant notifications to the business team by 87%, saving 30 hours/month by fully automating the existing manual workflow.

AbbVie Deutschland GmbH & Co. KG., Ludwigshafen, Germany
10 months
2021-12 - 2022-09

Developed and maintained Python-based microservices

Programmer Analyst
Programmer Analyst

  • Developed and maintained Python-based microservices for data extraction, transformation, and ML model integration into client-facing SaaS applications.
  • Implemented machine learning and NLP pipelines using scikit-learn, spaCy, and Hugging Face Transformers for tasks like text classification, entity recognition, and intelligent search.
  • Collaborated with data scientists to fine-tune Machine Learning models for multilingual NLP tasks.

Cognizant Technology Solutions, Chennai, India
1 year
2020-12 - 2021-11

Participated in a structured trainee program

Programmer Analyst Trainee
Programmer Analyst Trainee
  • Participated in a structured trainee program focused on low-code application development using the PEGA platform.
  • Followed software engineering best practices, version control (Git/GitHub), CI/CD pipelines, and Agile/Scrum collaboration with global teams.
  • Built workflow-driven applications simulating real-world business scenarios such as product purchase processes and a car rental system, implementing case management, decision rules, and UI components within PEGA.
  • Gained hands-on experience in business process modeling, automation, and aligning application logic with enterprise-level requirements.
Cognizant Technology Solutions, Chennai, India

Aus- und Weiterbildung

Aus- und Weiterbildung

2 years
2023-04 - 2025-03

Master?s in Applied Data Science and Analytics

Grade: 1.8/5, SRH Hochschule Heidelberg
Grade: 1.8/5
SRH Hochschule Heidelberg
Machine Learning, Visualization, Python, Database Management, Data Engineering, Data Mining, Data Story Telling, NLP, LLM, Deep Learning, AI, Data Privacy and Ethics in AI
4 years
2016-08 - 2020-07

Bachelor of Engineering in Electronics & Communication Engineering

Grade: 2/5, Dayananda Sagar Academy of Technology and Management
Grade: 2/5
Dayananda Sagar Academy of Technology and Management

Software & Hardware Programming (C, Verilog), Statistics, Mathematics

Kompetenzen

Kompetenzen

Top-Skills

Python LLMs Machine Learning Data Engineer SQL Data Mining Docker Data Visualization GCP Streamlit CI/CD (GitHub Actions) dbt Data Transformation GitHub R

Produkte / Standards / Erfahrungen / Methoden

PROFESSIONAL SUMMARY

AI/ML Engineer with experience in building and deploying autonomous, production-grade AI systems in regulated domains like life sciences. Expertise in architecting LLM-based pipelines, retrieval-augmented generation (RAG) systems, and AI workflows. Formal training in advanced analytics and in the implementation of statistical and machine learning models. Strong communicator and agile team player, passionate about driving real-world value through AI.


SKILLS

  • AI & Frameworks: LangChain, Hugging Face Transformers, OpenAI, Pinecone, Agentic AI
  • ML & NLP: Scikit-learn, TensorFlow, BERT, LLM Fine-tuning, Prompt Engineering
  • Data & Analytics: Power BI, Data Mining, Transformation, Visualization
  • Cloud & Platforms: GCP (Vertex AI, Cloud Functions, Big Query), Streamlit
  • Data & DevOps: Docker, dbt, MySQL, Git, GitHub Actions, CI/CD, VS Code
  • Methodologies: Agile (Scrum), Benchmarking (BERTScore, Precision@N)
  • Soft Skills: Cross-functional collaboration, Ownership, Communication


PROJECTS

German Biography Generator | Python, LLM

  • Built an AI summarization tool to create one-page biographies of the interviewees from long interview transcripts of up to 300 pages in the German language.
  • Conducted research on various LLMs suitable for the German language and selected Mistral-7B Instruct-v0.2 for the specific application.
  • Impact: Achieved a 95% reduction in manual biography drafting time for researchers at Fern Universität Hagen.


Domain Specific Candidate Hiring Application | Python, Machine Learning, Scikit-learn

  • Developed an ML-powered recruitment assistant that reduced manual effort by 45% and enhanced recruitment efficiency through automation.
  • Designed and implemented an end-to-end system for candidate data extraction and analysis, utilizing feature engineering and K-means clustering for candidate shortlisting, and developed a user interface using Streamlit for recruiters and candidates.

Programmiersprachen

Python
R
SQL

Einsatzorte

Einsatzorte

Deutschland
möglich

Projekte

Projekte

9 months
2024-10 - 2025-06

Built and deployed a production-grade AI system

AI ML Engineer - Master?s Thesis & Internship
AI ML Engineer - Master?s Thesis & Internship

  • Built and deployed a production-grade AI system to analyze unstructured data from user manuals of clinical equipment, automating information extraction, document question answering, and decision making.
  • Engineered an end-to-end RAG pipeline leveraging GPT-4o, OpenAI embeddings, and Pinecone, including prompt engineering for optimized answer generation, covering document ingestion, chunking, embedding, retrieval, and response generation.
  • Benchmarked multiple tools across extraction, embedding, and vector search stages using BERTScore and Precision@N, leading to improved response relevance.
  • Collaborated with cross-functional stakeholders across teams to gather user requirements and to track project progress, following the Agile framework for iterative development and regular feedback.
  • Utilized Docker Dev Containers to enable isolated, reproducible development environments.
  • Designed and developed a Streamlit application that integrates the entire project pipeline ? from data ingestion to AI answer generation.
  • Impact: Saved 36 hours/month by automating document question-answering previously done manually.

AbbVie Deutschland GmbH & Co. KG., Ludwigshafen, Germany
6 months
2024-04 - 2024-09

Designed and developed a BERT-based text classification data pipeline

Working Student - LLMs & Automation
Working Student - LLMs & Automation

  • Designed and developed a BERT-based text classification data pipeline to automatically fetch, preprocess, and categorize regulatory notifications, enabling faster and better decision-making.

  • Evaluated machine learning models for text classification using Accuracy and F1 scores, and applied Grid Search for hyperparameter tuning to improve classification performance.
  • Containerized the AI application using Docker for host-independent deployment.
  • Impact: Reduced the delivery of irrelevant notifications to the business team by 87%, saving 30 hours/month by fully automating the existing manual workflow.

AbbVie Deutschland GmbH & Co. KG., Ludwigshafen, Germany
10 months
2021-12 - 2022-09

Developed and maintained Python-based microservices

Programmer Analyst
Programmer Analyst

  • Developed and maintained Python-based microservices for data extraction, transformation, and ML model integration into client-facing SaaS applications.
  • Implemented machine learning and NLP pipelines using scikit-learn, spaCy, and Hugging Face Transformers for tasks like text classification, entity recognition, and intelligent search.
  • Collaborated with data scientists to fine-tune Machine Learning models for multilingual NLP tasks.

Cognizant Technology Solutions, Chennai, India
1 year
2020-12 - 2021-11

Participated in a structured trainee program

Programmer Analyst Trainee
Programmer Analyst Trainee
  • Participated in a structured trainee program focused on low-code application development using the PEGA platform.
  • Followed software engineering best practices, version control (Git/GitHub), CI/CD pipelines, and Agile/Scrum collaboration with global teams.
  • Built workflow-driven applications simulating real-world business scenarios such as product purchase processes and a car rental system, implementing case management, decision rules, and UI components within PEGA.
  • Gained hands-on experience in business process modeling, automation, and aligning application logic with enterprise-level requirements.
Cognizant Technology Solutions, Chennai, India

Aus- und Weiterbildung

Aus- und Weiterbildung

2 years
2023-04 - 2025-03

Master?s in Applied Data Science and Analytics

Grade: 1.8/5, SRH Hochschule Heidelberg
Grade: 1.8/5
SRH Hochschule Heidelberg
Machine Learning, Visualization, Python, Database Management, Data Engineering, Data Mining, Data Story Telling, NLP, LLM, Deep Learning, AI, Data Privacy and Ethics in AI
4 years
2016-08 - 2020-07

Bachelor of Engineering in Electronics & Communication Engineering

Grade: 2/5, Dayananda Sagar Academy of Technology and Management
Grade: 2/5
Dayananda Sagar Academy of Technology and Management

Software & Hardware Programming (C, Verilog), Statistics, Mathematics

Kompetenzen

Kompetenzen

Top-Skills

Python LLMs Machine Learning Data Engineer SQL Data Mining Docker Data Visualization GCP Streamlit CI/CD (GitHub Actions) dbt Data Transformation GitHub R

Produkte / Standards / Erfahrungen / Methoden

PROFESSIONAL SUMMARY

AI/ML Engineer with experience in building and deploying autonomous, production-grade AI systems in regulated domains like life sciences. Expertise in architecting LLM-based pipelines, retrieval-augmented generation (RAG) systems, and AI workflows. Formal training in advanced analytics and in the implementation of statistical and machine learning models. Strong communicator and agile team player, passionate about driving real-world value through AI.


SKILLS

  • AI & Frameworks: LangChain, Hugging Face Transformers, OpenAI, Pinecone, Agentic AI
  • ML & NLP: Scikit-learn, TensorFlow, BERT, LLM Fine-tuning, Prompt Engineering
  • Data & Analytics: Power BI, Data Mining, Transformation, Visualization
  • Cloud & Platforms: GCP (Vertex AI, Cloud Functions, Big Query), Streamlit
  • Data & DevOps: Docker, dbt, MySQL, Git, GitHub Actions, CI/CD, VS Code
  • Methodologies: Agile (Scrum), Benchmarking (BERTScore, Precision@N)
  • Soft Skills: Cross-functional collaboration, Ownership, Communication


PROJECTS

German Biography Generator | Python, LLM

  • Built an AI summarization tool to create one-page biographies of the interviewees from long interview transcripts of up to 300 pages in the German language.
  • Conducted research on various LLMs suitable for the German language and selected Mistral-7B Instruct-v0.2 for the specific application.
  • Impact: Achieved a 95% reduction in manual biography drafting time for researchers at Fern Universität Hagen.


Domain Specific Candidate Hiring Application | Python, Machine Learning, Scikit-learn

  • Developed an ML-powered recruitment assistant that reduced manual effort by 45% and enhanced recruitment efficiency through automation.
  • Designed and implemented an end-to-end system for candidate data extraction and analysis, utilizing feature engineering and K-means clustering for candidate shortlisting, and developed a user interface using Streamlit for recruiters and candidates.

Programmiersprachen

Python
R
SQL

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