Summary
Nikunj Lad is a Senior Machine Learning Engineer with nine years of experience building end-to-end ML and computer vision systems, currently designing real-time object detection pipelines for Knightscope’s K5 robot. He blends hands-on production skills—data aggregation, annotation, scalable data loaders, dockerized microservices, and NVIDIA-optimized inference—with a research mindset honed at Northeastern and early academic projects that achieved state-of-the-art results in medical and audio diagnostics. Nikunj has reduced latency in production deployments and delivered multi-threaded GPU inference solutions, demonstrating both systems-level optimization and algorithmic rigor. A founding member and advisor of NEU AI Skunkworks, he has mentored 100+ students and runs workshops that translate research into practical projects. Comfortable wearing multiple hats in startups, he pairs empathy for user problems with curiosity (currently learning French) and a passion for teaching as a way to deepen expertise.
8 years of coding experience
8 years of employment as a software developer
Bachelor of Technology (B.Tech.), Electronics and Telecommunication, Bachelor of Technology (B.Tech.), Electronics and Telecommunication at KJ Somaiya College of Engineering, Vidyavihar
Master of Science - MS, Information Systems, Master of Science - MS, Information Systems at Northeastern University
French, English, Hindi, Gujarati, German