Andrey Eremeev

I build AI/ML systems for healthcare and life science problems — from RAG pipelines that retrieve clinical knowledge to NLP tools that extract structure from unstructured data.

My stack: Python, LangChain, Hugging Face, ChromaDB, Ollama, OpenAI API, Docker, FastAPI, PostgreSQL, Git. I work with LLMs and retrieval-augmented generation — from data ingestion to API deployment.

With a PhD background, I bring domain reasoning that pure software engineers lack: I can read the literature, frame the right questions, and validate whether a model's outputs actually make sense in a clinical context.

Currently at Materact, building AI-powered solutions. Previously completed intensive AI engineering training (Masterschool) with production-grade projects in Python, SQL and RAG.

🇵🇹 Open to relocating to Portugal (A1 Portuguese, actively learning). Open to AI/Python Software developer roles in Portugal, remote, or hybrid.

AI Engineer at Materact (2026-02 – 2026-04)

Built AI-driven extraction and transformation pipelines using OpenAI API, Pydantic validation, and FastAPI. Implemented validation systems and scalable backend services with Docker and AWS Lambda.

• Built AI-driven extraction and transformation pipelines using OpenAI API, Pydantic validation, and FastAPI — converting unstructured Markdown documents into structured JSON with multi-layer quality checks.
• Implemented a two-layer validation system: rule-based consistency checks combined with LLM-powered evaluation to detect mismatches and generate detailed validation reports.
• Developed scalable backend services with Docker and AWS Lambda for automated processing of complex scientific datasets, including PDF parsing, text chunking, and embedding pipelines.
• Collaborated directly with product and data stakeholders to define data schemas, extraction quality standards, and integration requirements — demonstrating cross-functional communication and requirement translation.

Product Manager at Evident Europe GmbH (2022-03 – 2025-01)

Owned end-to-end product lifecycle, from requirements gathering and technical feedback to launch, integration, and post-release support in an agile environment.

• Owned end-to-end product lifecycle, from requirements gathering and technical feedback to launch, integration, and post-release support in an agile environment.
• Coordinated cross-functional teams with 5 key stakeholder groups, ensuring seamless delivery through proactive communication and ownership of technical issues.

Product Manager at Sysmex Inostics GmbH (2021-03 – 2022-02)

Supported pre- and post-sales activities for 4 NGS kits, enhancing customer experience through data-driven insights, technical documentation, marketing materials, and product presentations.

• Supported pre- and post-sales activities for 4 NGS kits, enhancing customer experience through data-driven insights, technical documentation, marketing materials, and product presentations.
• Provided close support to sales team with technical queries and negotiations to successfully close deals.

Application Specialist - Liquid Handling Automation at Eppendorf AG (2017-10 – 2021-02)

Led 30+ product trainings and installations, providing end-to-end technical support that boosted customer satisfaction and reduced post-sales issues by 25%.

• Led 30+ product trainings and installations, providing end-to-end technical support that boosted customer satisfaction and reduced post-sales issues by 25%.
• Translated 50+ user insights into actionable features, accelerating agile delivery and improving product usability across key releases, with a focus on data handling and automation.

Training Program in Software Engineering: AI Engineering – Masterschool (2025-02 – 2026-04)

PhD in Molecular Biology – University of Duisburg-Essen (2011-10)