Venkata Chintapalli is a Staff Data Scientist based in San Ramon, CA with nine years of experience specializing in ML/LLM engineering, reinforcement learning, model optimization, and cloud-native deployments. He has led production ML work at Walmart Global Tech and delivered low-precision inference and quantization pipelines for Meta while enabling models on inference accelerators. His background combines deep systems and hardware verification expertise from roles at Oracle and IDT with hands-on ML productization—building real-time bidding RL agents, IoT image pipelines, and lifecycle automation for distributed clusters. He founded a brief consultancy, Dense Sparse, reflecting a knack for entrepreneurial experimentation alongside enterprise impact. Venkata holds an MS in Machine Learning from Georgia Tech and an M.Tech from IISc, a combination that explains his ability to bridge research-grade algorithms and pragmatic production engineering. A less obvious strength is his cross-domain fluency: he blends silicon-level verification experience with modern ML deployment practices, making him effective at squeezing performance from both models and infrastructure.
8 years of coding experience
18 years of employment as a software developer
B.Tech, Electronics & Instrumentation, B.Tech, Electronics & Instrumentation at Acharya Nagarjuna University
M.Tech, Electronics Design & Technology, M.Tech, Electronics Design & Technology at Indian Institute of Science (IISc)
Master of Science - MS, Computer Science Machine Learning, Master of Science - MS, Computer Science Machine Learning at Georgia Institute of Technology
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