About Me
AI and Data Science Engineer with a multidisciplinary background spanning chemistry, computational science, software engineering, and advanced analytics. Combines strong quantitative reasoning, scientific expertise, and …
AI and Data Science Engineer with a multidisciplinary background spanning chemistry, computational science, software engineering, and advanced analytics. Combines strong quantitative reasoning, scientific expertise, and modern AI technologies to develop innovative solutions for complex business and research challenges. Proven ability to transform data into strategic insights, build intelligent systems, and translate sophisticated technical concepts into practical, scalable outcomes.
Experience
AI/ML Data Scientist
<p>Architected end-to-end supervised ML pipelines for multi-class prediction tasks across structured datasets feature engineering, model selection, ensemble stacking, and automated evaluation.</p><p> Improved model accuracy by 15% through systematic ensemble methods and automated feature selection, significantly reducing false-positive rates in downstream decision workflows.</p><p> Designed and built a GPU-accelerated quantum chemistry pipeline (PySCF, gpu4pyscf, CuPy, RDKit) computing molecular electronic, reactivity, and solvation descriptors on NVIDIA H100 DGX systems, and refactored it into a production-ready application for the discovery team.</p><p> Optimized data, inference, and GPU compute pipelines batch processing, workload scheduling, and resource allocation cutting training and scoring time by 20% and reducing computational overhead across large-scale molecular datasets.</p>