Summary
Kunind Sharma is a Senior Data Scientist with 8 years of experience focused on turning AI prototypes into resilient production systems, currently building agentic LLM infrastructure at the National Insurance Crime Bureau. He shipped the org’s first production hybrid retrieval + NL-to-SQL agent and an evaluation harness that gates releases, and has productionized fraud-detection models and cost-saving MLOps practices that cut AWS spend by $75K/year. With a PhD in interdisciplinary engineering from Northeastern, Kunind has published on behavioral modeling and built a 1,400-occupant digital twin, demonstrating rare depth in both human-in-the-loop research and scalable deployment. He’s skilled across retrieval systems, ReAct loops, CI/CD, and cloud serving optimization—turning multi-minute LLM jobs into sub-minute interactive services. Based in Sunnyvale, he combines rigorous academic research with hands-on engineering, mentoring junior engineers and shipping reproducible, auditable ML pipelines.
8 years of coding experience
5 years of employment as a software developer
Master's degree, Energy Management and Systems Technology/Technician, Master's degree, Energy Management and Systems Technology/Technician at The Gordon Institute of Engineering Leadership at Northeastern University
Bachelor of Science, Mechanical Engineering, Overall GPA - 3.48/4.00, Major GPA - 3.84/4.00, Bachelor of Science, Mechanical Engineering, Overall GPA - 3.48/4.00, Major GPA - 3.84/4.00 at University of Mississippi
Doctor of Philosophy - PhD, MULTI/INTERDISCIPLINARY STUDIES, Doctor of Philosophy - PhD, MULTI/INTERDISCIPLINARY STUDIES at Northeastern University
English, Hindi, Punjabi