Niraj Yagnik
Summary
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SeniorNiraj 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
Github Skills (8)
classifier9
interactors9
natural-language-processing5
chatbot5
recommendation-system5
ai4
lms2
large-language-models2
Programming languages (5)
Github contributions (5)
NirajYagnik/khoj
Dec 2019 - Jul 2022
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
aichatbotclassifierinteractorsnatural-language-processing
NirajYagnik/acad-portfolio
Jul 2022 - Aug 2022
Contributions:101 pushes, 1 branch in 17 days
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