Debargha Ganguly is a PhD candidate in Computer Science at Case Western Reserve University with nine years of experience blending research and product-focused engineering to build robust, reliable, and scalable machine learning systems. He has applied that expertise in internships at Microsoft Research and Amazon, working on LLM/VLM reasoning, data, and automated verification to bring correctness guarantees to model outputs. Funded by the NSF ICICLE AI Institute and with pre-doctoral work on explainable AI and biomedical applications, he bridges theory and practice across applied ML, explainability, and verification. Earlier roles as a founder and engineering lead sharpened his product instincts and cloud-architecture skills, while his current work emphasizes large-scale code verification with LLMs—an uncommon intersection of formal reasoning and generative models. Based in Cleveland, he combines deep academic rigor with demonstrated industry impact and entrepreneurial grit.
8 years of coding experience
2 years of employment as a software developer
Summer School, Entrepreneurship/Entrepreneurial Studies, 4.0/4, Summer School, Entrepreneurship/Entrepreneurial Studies, 4.0/4 at University of Cape Town
Doctor of Philosophy - PhD, Computer Science, 4.0, Doctor of Philosophy - PhD, Computer Science, 4.0 at Case Western Reserve University
Postgraduate Degree, Computer Science, 3.86; Magna Cum Laude, Postgraduate Degree, Computer Science, 3.86; Magna Cum Laude at Ashoka University
WebRTC based Telemedicine portal POC during the nCOV Crisis
Contributions:12 PRs, 15 pushes, 2 branches in 1 year 6 months
ncovtelemedicinewebrtc-signalingcrisiswebrtc
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