Summary
Nikhil Verma is a Lead Research Scientist with 8 years of experience building agentic AI, multi-agent systems, and RL-based post-training at scale, currently leading personalization and RLHF/RLAIF efforts at LG Electronics in Toronto. He combines a strong academic foundation from the University of Toronto with hands-on production ML experience—deploying parameter-efficient fine-tuning, multilingual NLP pipelines, and reinforcement learning for safe, trustworthy systems. His background spans end-to-end ML engineering (CV, NLP, diffusion models) and infrastructure work including ClickHouse, Elasticsearch, Docker/Kubernetes and CI/CD, enabling research-to-production delivery. Known for a collaborative temperament and punctuality, he treats failures as iterative learning opportunities and focuses on practical, dynamic solutions rather than one-size-fits-all fixes. An interesting thread through his career is applying research insights to industry problems—from building 5G test beds and pricing datasets to scalable CV and RL systems—bridging rigorous research with measurable product impact.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Engineering, Computer Engineering, Bachelor of Engineering, Computer Engineering at Thapar Institute of Engineering & Technology
ACM India Summer School, Data Science, ACM India Summer School, Data Science at Goa University
Master of Science in Applied Computing, Data Science, Master of Science in Applied Computing, Data Science at University of Toronto
Punjabi, Hindi, English