Summary
Atharva Tendle is a Machine Learning Engineer with eight years of experience specializing in generative-AI powered search systems at Bloomberg. He pairs a strong academic foundation (M.S. and B.S. in Computer Science, plus Economics) with hands-on research experience in interpretability, modular meta-learning, and privacy-aware multimodal learning published at NeurIPS workshops. His background spans production ML at Bloomberg and Hudl, research roles at Manifold Computing and OpenMined, and practical CV and satellite-imagery pipelines developed during graduate work. Known for squeezing extra insight from models, he has explored layer-wise weight-change interpretability and self-supervised pretraining strategies that improved camera-trap classification. Based in New York, he blends research rigor with production engineering to move experimental ideas into scalable systems.
8 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Computer Science, 4.0/4.0, Master of Science - MS, Computer Science, 4.0/4.0 at University of Nebraska-Lincoln
International Baccalaureate Diploma Programme - Hiranandani Foundation International School, Science, Mathematics and Business, 33 out of 42 IB Points (Class Rank: 2), International Baccalaureate Diploma Programme - Hiranandani Foundation International School, Science, Mathematics and Business, 33 out of 42 IB Points (Class Rank: 2) at International Baccalaureate
English, Hindi, Marathi, French