Summary
Obaidur Rahaman is a Data Scientist and AI Engineer with a strong interdisciplinary foundation—holding a doctorate in computational chemistry and 15+ years applying physics, chemistry, and machine learning to real-world problems. He designs and deploys production-grade LLM and RAG platforms, having built an LLM-ready pipeline processing 300,000+ documents and a RAG system used by 500+ R&D professionals. His work spans continuous domain-adaptive pretraining, molecular property prediction, GNNs, and cloud-native data lakes on AWS, blending deep research experience from postdoctoral roles with hands-on product engineering. As an open-source maintainer of NLAVIDA and creator of LangChain-based analytics tools, he brings practical tooling and evaluation frameworks (e.g., RAGAS) to improve reliability in generative systems. Based in Leverkusen, Germany, he is equally comfortable mentoring teams, advising on AI strategy, or rolling up his sleeves to productionize complex ML systems.
9 years of coding experience
1 year of employment as a software developer
Indian Institute of Technology Bombay
doctorate Computational Chemistry, doctorate Computational Chemistry at University of Delaware
bengali, hindi, french, spanish