Summary
Akshay Hazare is a senior deep learning scientist and MS-level computer scientist with nine years of experience building multimodal and agentic AI systems across research and production. He has led company-wide evaluation and safety standards, released public safety datasets adopted by the research community, and recovered model performance under tight constraints using reinforcement learning techniques like DPO, GRPO, and RLHF. At NVIDIA he shipped real-time agent and speech systems and scalable synthetic-data pipelines for production research, and earlier roles at LivePerson focused on applying LLMs to conversational commerce to boost engagement and conversions. He combines rigorous academic training from NYU with hands-on systems engineering that spans evaluation tooling, benchmarks, and real-time deployments. Notably, his work surfaces previously unaddressed multimodal safety gaps and has been institutionalized across teams, reflecting both technical depth and practical impact.
9 years of coding experience
8 years of employment as a software developer
Master’s Degree, Computer Science, Master’s Degree, Computer Science at New York University
Bachelor of Engineering (B.E.), Electrical, Electronics and Communications Engineering, Bachelor of Engineering (B.E.), Electrical, Electronics and Communications Engineering at University of Mumbai
English, Marathi, Hindi