Summary
Muzamal Sheikh is an AI Solutions Architect and applied data scientist with a decade of hands-on experience bridging software engineering, healthcare informatics, and analytics. He blends Python, SQL, C++ and Java expertise with deep operational knowledge of EHR systems like Meditech and Epic, delivering predictive models, EMR integrations, and workflow optimizations across hospital and retail pharmacy settings. As a self‑directed practitioner he currently designs agentic LLM deployment architectures, fine-tunes models, and engineers prompts to optimize real‑world outputs, demonstrating both research rigor and production focus. His background in pharmacy operations and clinical workflow improvement gives him uncommon domain fluency that helps translate technical solutions into safer, more efficient patient care processes. Based in the New York metro area, he pairs graduate training in applied data science with entrepreneurial experience in productizing analytics and managing risk-aware investments.
10 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Data Science, Master of Science - MS, Data Science at Ramapo College of New Jersey
Master of Engineering - MEng, Applied Data Science, Master of Engineering - MEng, Applied Data Science at Stevens Institute of Technology
High School Diploma, High School Diploma at Northern Highlands Regional High School