Summary
Salil Navgire is a senior machine learning engineer with 12 years of experience building production ML systems across e-commerce, ads, and fashion tech. He currently works on Boost and Emerging Verticals Ads at Instagram, after driving search, classification, and ML platform efforts at L2 and Rank & Style. His strengths span end-to-end ML: model fine-tuning, feature engineering, scalable pipelines (ECS/SQS, Kubernetes), MLFlow integration, and semi-supervised/active learning that tripled labeling throughput. He has repeatedly deployed containerized prediction APIs, built AutoML tooling and CI/CD for models, and delivered high-accuracy NLP classifiers (multi-class F1s >99.5% in brand attribution). Comfortable moving between research and product, he combines rigorous academic training (MS from NYU, AI Nanodegree) with hands-on engineering that shortens model refresh cycles and reduces latency. An understated differentiator is his track record of operationalizing text and audio ML—turning experimental models into reliable, production-grade services.
12 years of coding experience
7 years of employment as a software developer
Bachelor of Engineering (B.E.), Electronics and Telecommunications, Bachelor of Engineering (B.E.), Electronics and Telecommunications at VIIT Pune
Nanodegree, Artificial Intelligence, Nanodegree, Artificial Intelligence at Udacity
Master of Science (MS), Electrical and Electronics Engineering, Master of Science (MS), Electrical and Electronics Engineering at NYU
English, Marathi, Hindi