Punit Kumar is a founding machine learning engineer and MS AI candidate at SUNY Buffalo with a decade of experience building production ML systems across startups and large platforms. He has shipped high-impact models—from LSTM/Attention availability predictors and Transformer-based credit risk classifiers to BERT-powered multi-label chat fraud and intent detectors—often deploying them on AWS SageMaker for scalable inference. His work consistently blends research-grade architectures with pragmatic MLOps (Docker, Flask/Gunicorn, Nginx) and has driven measurable business gains like improved booking actions and high accuracy/recall across tasks. Trained at IIT Kharagpur, he pairs strong software engineering roots (full-stack internships, web portals, firmware exposure) with deep NLP and time-series expertise. Colleagues can expect an engineer who bridges cutting-edge models and production rigor, plus a knack for translating academic ideas into deployable products.
10 years of coding experience
7 years of employment as a software developer
Master of Science - MS Artificial Intelligence, Master of Science - MS Artificial Intelligence at University at Buffalo
Dual Degree(B.Tech & M.Tech), Dual Degree(B.Tech & M.Tech) at Indian Institute of Technology, Kharagpur
Contributions:21 pushes, 1 branch in 4 years 7 months
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Punit Kumar - Founding Machine Learning Engineer at Decompute