Niraj Yagnik is a Co-Founder and CTO based in New York with eight years of experience building AI systems, high-performance computing infrastructure, and data-driven products across startups and research labs. He’s currently building FPX AI, an HPC marketplace tackling hardware, power, and knowledge bottlenecks for large-scale AI, after leading product and inference research at BitOoda. His background spans end-to-end ML engineering, data lake architecture, and human-AI interaction—work that includes grant-winning wearable-sensor models and explainable-AI research at UC San Diego. Comfortable switching hats from hands-on coding to team-building and product strategy, he has a track record of shipping 0-to-1 products and scaling dev teams internationally. Niraj’s blend of startup grit, academic rigor, and interest in human-AI interaction hints at a founder who designs systems with both performance and real-world usability in mind.
8 years of coding experience
5 years of employment as a software developer
University of California, San Diego
Bachelor of Technology Computer and Communication Engineering, Bachelor of Technology Computer and Communication Engineering at Manipal Institute of Technology
MicroMBA Business Administration and Management General, MicroMBA Business Administration and Management General at University of California, San Diego - Rady School of Management
Project Khoj is an AI based Search Recommendation System which uses Image Classifier with Color Extractor and a NLP based ChatBot to provide the user a concise list of fashion products based on his/her interaction with the above mentioned interactors.
Contributions:5 commits, 5 pushes, 1 branch in 2 years 7 months
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