I am a Senior AI Engineer with over six years of experience in data science, specializing in developing large language model (LLM) based applications tailored for the medical domain. I focus on building end-to-end multi-agent intelligent systems deployed on AWS, leveraging fine-tuning, zero-shot techniques, and real-time data pipelines to solve complex, high-impact problems. I excel in containerized deployment, MLOps, and advanced document processing systems integrating multiple AI technologies. Throughout my career, I've engineered solutions such as a multi-agent RAG system managing organizational knowledge at Max Delbrück Center, and intelligent web crawling and data acquisition engines. My expertise extends to scalable microservice architectures, fine-tuning open-source LLMs, and designing advanced dashboards with Tableau, enabling strategic insights from complex datasets. I am fluent in English and German and continuously eager to push boundaries in AI-driven innovations.

Aneeth Manikantan

I am a Senior AI Engineer with over six years of experience in data science, specializing in developing large language model (LLM) based applications tailored for the medical domain. I focus on building end-to-end multi-agent intelligent systems deployed on AWS, leveraging fine-tuning, zero-shot techniques, and real-time data pipelines to solve complex, high-impact problems. I excel in containerized deployment, MLOps, and advanced document processing systems integrating multiple AI technologies. Throughout my career, I've engineered solutions such as a multi-agent RAG system managing organizational knowledge at Max Delbrück Center, and intelligent web crawling and data acquisition engines. My expertise extends to scalable microservice architectures, fine-tuning open-source LLMs, and designing advanced dashboards with Tableau, enabling strategic insights from complex datasets. I am fluent in English and German and continuously eager to push boundaries in AI-driven innovations.

Available to hire

I am a Senior AI Engineer with over six years of experience in data science, specializing in developing large language model (LLM) based applications tailored for the medical domain. I focus on building end-to-end multi-agent intelligent systems deployed on AWS, leveraging fine-tuning, zero-shot techniques, and real-time data pipelines to solve complex, high-impact problems. I excel in containerized deployment, MLOps, and advanced document processing systems integrating multiple AI technologies.

Throughout my career, I’ve engineered solutions such as a multi-agent RAG system managing organizational knowledge at Max Delbrück Center, and intelligent web crawling and data acquisition engines. My expertise extends to scalable microservice architectures, fine-tuning open-source LLMs, and designing advanced dashboards with Tableau, enabling strategic insights from complex datasets. I am fluent in English and German and continuously eager to push boundaries in AI-driven innovations.

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Language

English
Advanced
German
Advanced

Work Experience

Senior AI Scientist at Max Delbrück Center for Molecular Medicine
March 1, 2025 - Present
Designed and developed an end-to-end multi-agent Retrieval-Augmented Generation (RAG) system for MDC managing organizational knowledge across departments. Implemented a supervisor-agent architecture with domain experts, quality control agents, and intelligent query routing using LangChain and LangGraph. Built a comprehensive document ingestion system supporting 10+ file formats with PaddleOCR for table recognition and formula extraction, achieving over 95% accuracy in multilingual semantic document processing. Containerized the entire application stack with Docker and multi-service orchestration, implemented scalable microservices with configurable worker pools, caching layers, and comprehensive error handling for production deployment. Engineered intelligent web crawling and data acquisition pipelines with Crawl4AI and Playwright, including VPN/SSO authentication and parallel processing strategies for automated knowledge base updates through scheduled crawling pipelines.
AI Engineer (working student) at Merck KG aA
March 1, 2025 - September 5, 2025
Developed and deployed a multi-agent architecture powered by OpenAI and Claude APIs, leveraging LangChain for agent orchestration and LangFuse for model tracking. Designed end-to-end machine learning applications with CI/CD pipelines using GitHub Actions. Containerized models and applications using Docker and BentoML, enabling scalable deployment. Ensured robust model lifecycle management with MLFlow for tracking and monitoring. Fine-tuned open-source large language models (LLMs) and deployed them using AWS SageMaker, optimizing them for domain-specific tasks. Acquired and integrated data from Palantir into Tableau, employing advanced visualization techniques to provide strategic insights. Designed and implemented comprehensive dashboards in Tableau, specializing in data storytelling and presenting complex datasets as intuitive and actionable visualizations.

Education

MSc Applied Data Science and Analytics at SRH Hochschule Heidelberg
January 11, 2030 - September 5, 2025

Qualifications

Add your qualifications or awards here.

Industry Experience

Healthcare, Life Sciences, Software & Internet