Summary
Vishal Naik is a machine learning engineer building cutting-edge retrieval-augmented generation and conversational AI systems. At Vectara, he focuses on enhancing RAG pipelines across retrieval, ranking, and generation to deliver coherent, grounded responses. He previously contributed to large-scale LLM training at Amazon, applying PPO and DPO and generating synthetic data via Self-Instruct and Evol-Instruct, bridging research breakthroughs with production-scale systems. His work on memory-aware, context-rich conversational AI enables more coherent interactions by incorporating history and semantic understanding. He holds a master's in computer science from Arizona State University and a B.E. in CS from RV College of Engineering, with a track record spanning National Instruments roles and multiple Amazon stints, reflecting strong end-to-end software engineering and ML deployment capabilities. Based in Sunnyvale, California, he brings nearly a decade of experience turning ambitious ML ideas into reliable, scalable solutions.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Engineering (B.Eng.), computer science, 9.10/10, Bachelor of Engineering (B.Eng.), computer science, 9.10/10 at R. V. College of Engineering, Bangalore
Master's degree, Computer Science, 3.70/4.0, Master's degree, Computer Science, 3.70/4.0 at Arizona State University
10+, science, 10+, science at SDMC Honnavara
English, Kannada, Hindi