Summary
Devansh Bisla is a Deep Learning Software Engineer based in New York with 9 years of experience building vision and language models and turning research ideas into scalable AI systems. Currently at NVIDIA, he focuses on production-ready deep learning solutions for perception and autonomous systems, drawing on multiple internships there and at Microsoft that bridged research and applied engineering. His background spans FAISS-based image retrieval, t-SNE visualization, real-time speech-to-text pipelines, and UAV vehicle tracking—showing a strong mix of classical CV, optimization methods, and modern LLM work. He holds an MS and a PhD in Electrical and Computer Engineering from NYU and a B.E. from Manipal, which underpin his rigorous approach to model development and system design. Colleagues describe him as someone who moves fluidly between prototyping research ideas and hardening them for production at scale. He often brings subtle systems-level optimizations to models, improving inference efficiency without compromising accuracy.
9 years of coding experience
1 year of employment as a software developer
Bachelor of Engineering (B.E.), Electrical, Electronics and Communications Engineering, Bachelor of Engineering (B.E.), Electrical, Electronics and Communications Engineering at Manipal Institute of Technology
Master of Science (MS), Electrical and Computer Engineering, Master of Science (MS), Electrical and Computer Engineering at New York University
English, Hindi