Full Stack AI Engineer with production experience building and shipping LLM systems end to end. Proven track record going from zero to one: LangGraph-based RAG system serving 3,000+ enterprise users, driving a 30% efficiency gain and $30M in annual savings. Owns the full stack — Python, TypeScript, React, serverless cloud. Thrives in fast-moving, early-stage environments.

David Moser

Full Stack AI Engineer with production experience building and shipping LLM systems end to end. Proven track record going from zero to one: LangGraph-based RAG system serving 3,000+ enterprise users, driving a 30% efficiency gain and $30M in annual savings. Owns the full stack — Python, TypeScript, React, serverless cloud. Thrives in fast-moving, early-stage environments.

Available to hire

Full Stack AI Engineer with production experience building and shipping LLM systems end to end. Proven track record going from zero to one: LangGraph-based RAG system serving 3,000+ enterprise users, driving a 30% efficiency gain and $30M in annual savings.

Owns the full stack — Python, TypeScript, React, serverless cloud. Thrives in fast-moving, early-stage environments.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
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Language

German
Fluent
English
Fluent

Work Experience

Founder & Engineer
January 1, 2025 - Present
Built and operated a full-stack AI SaaS product end to end. Designed and deployed a custom LoRA fine-tuning pipeline for personalized image generation on serverless GPU infrastructure (Modal, RunPod). Took the system from research through hyperparameter optimization and iterative experimentation across training and inference to production. Implemented Python backend, TypeScript/React frontend, Stripe payments, and Cloudflare R2 storage. Launched with paying customers.
Full Stack AI Engineer at Novartis Pharma Schweiz
November 1, 2023 - Present
Designed and shipped a LangGraph-based LLM RAG system (Python, FastAPI, Azure) serving 3,000+ enterprise users worldwide. Delivered a 30% increase in operational efficiency and $30M in annual cost savings. Built a multimodal document ingestion pipeline using Azure Document Intelligence (layout parsing, bounding box detection, textual extraction) to process complex unstructured documents at scale and reduce downstream hallucinations. Developed a React interface for real-time document navigation, AI output verification, and citation tracking, reducing response verification time by 60%. Optimized retrieval for high recall (90%+ across RAGAS) with query expansion, term standardization, and targeted filtering. Engineered GDPR compliance via NER-driven PII/out-of-scope validation and built an Azure Functions verification pipeline enabling fact-checking through a React-PDF viewer.

Education

Bachelor of Science in Artificial Intelligence at Radboud University
September 1, 2020 - July 1, 2023

Qualifications

SQL for Data Science
January 11, 2030 - July 24, 2026
Frontend Development: React, JavaScript, HTML and CSS
January 11, 2030 - July 24, 2026

Industry Experience

Healthcare, Life Sciences, Professional Services, Software & Internet