Summary
Mohsin Shah is a data engineer and dual computer science and mathematics major with three years of applied experience in ML-driven research and enterprise data platforms. He has contributed to AI research on oscillatory neural networks and multimodal transformers while also delivering production-focused data engineering work at Fidelity and tooling enhancements at Microsoft. Mohsin blends hands-on model development (PyTorch, CUDA, Julia) and cloud data engineering (Snowflake, AWS S3, Splunk) to move projects from R&D to operational impact—his SSO chatbot and Splunk dashboards targeted measurable user-efficiency gains. A disciplined operator and researcher, he pairs strong academic rigor (3.97 GPA) with practical outcomes like a 60% simulation efficiency boost and a 68% BLEU score on custom VLM experiments. Outside of code he trains in Brazilian jiu-jitsu and produces polished photo/video edits, reflecting a creative, performance-oriented mindset.
3 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Computer Science, 3.97/4, Bachelor of Science - BS, Computer Science, 3.97/4 at University of Massachusetts Amherst
Master's degree, Computer Science, Master's degree, Computer Science at University of Illinois Urbana-Champaign
English, Urdu, Hindi, Pashto