Summary
Rajat Garg is a Machine Learning Engineer with 10 years of experience blending product-grade software engineering and applied ML, rooted in a B.Tech from NIT Delhi. He shipped consumer-facing features and performance improvements on PowerPoint at Microsoft—reducing load times, improving reliability, and optimizing thumbnail generation and caching across datacenters. As co-founder of Bosscoder Academy he translates that enterprise experience into practical training, helping engineers acquire the precise skills needed to join top product companies. His background spans mobile and web app delivery, deep learning for assistive tech (a sign-language glove), and algorithmic trading interests visible in his GitHub topics. Based in Delhi, he combines hands-on implementation with mentorship and a pragmatic focus on measurable product impact. Notably, he moved from individual feature work to systems-level optimizations that directly reduced COGS and latency in production services.
10 years of coding experience
5 years of employment as a software developer
Bachelor's degree Electrical and Electronics Engineering, Bachelor's degree Electrical and Electronics Engineering at National Institute of Technology Delhi
English, Hindi