Summary
Sriram Boppana is an AI engineer with nine years of experience blending embedded systems, deep learning, and healthcare innovation, currently building foundational models and generative AI applications at GE HealthCare. He is pursuing an M.S. in Computer Science at Georgia Tech with a focus on computing systems and machine learning, and has a track record of NIH- and DoD-funded research in oncology and neuroimaging. Sriram co-founded a wearable medical-device startup (Predictive Wear) and led hardware and analog-front-end design for a bioimpedance hydration monitor—work that informs his cross-disciplinary approach from firmware to ML. At GE he engineered healthcare-focused LLM tools using ChatGPT and LangChain, demonstrating practical deployment of language models in clinical contexts. Known for rotating across embedded computing, wireless research, and AI, he combines startup grit with corporate research rigor to translate novel algorithms into device-ready solutions.
9 years of coding experience
7 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Georgia Institute of Technology
Master of Science - MS, Biomedical/Medical Engineering, Master of Science - MS, Biomedical/Medical Engineering at Case Western Reserve University
Bachelor's Degree, Biomedical Engineering, Bachelor's Degree, Biomedical Engineering at Purdue University
Telugu, Spanish, English