Summary
Rwik Dutta is a Lead Machine Learning Engineer based in Bengaluru with a decade of engineering experience and 6+ years focused on NLP and Generative AI, specializing in end-to-end ML systems from data collection to production deployment. He has repeatedly delivered product-grade solutions—driving DocAI to sub-second document processing, replacing a commercial form recognizer to improve F1 by 8% and cut inference costs by 85%, and building performance tracking and inference architectures that materially reduced latency, cost, and memory footprint. Comfortable across research adaptation and pragmatic engineering, he has built Kubernetes-powered SaaS infrastructure that scaled throughput 20x and standardized model training pipelines to shorten iteration cycles by ~40%. At Code and Theory he now focuses on reliable, scalable ML deployment infrastructure, bringing both hands-on modeling and platform-level systems skills. Colleagues would note his blend of product-minded optimization and practical LLM experimentation, often choosing lightweight architectural changes that unlock outsized cost and performance gains.
10 years of coding experience
6 years of employment as a software developer
Bachelor of Technology - BTech, Computer Science, Bachelor of Technology - BTech, Computer Science at B.P. Poddar Institute Of Management and Technology
Senior Secondary Education, Science, Senior Secondary Education, Science at Delhi Public School Siliguri
Secondary Education, Secondary Education at Don Bosco School Siliguri
English, Bengali, Hindi