Summary
Siddharth Bhatnagar is a senior machine learning engineer with nine years of experience building production ML systems at Apple, and earlier applied deep learning research at NVIDIA and engineering at Adobe. He blends strong academic credentials (MS in CS from Columbia, 3.97/4.0) with hands-on expertise in computer vision, NLP, and large-scale C++/Python systems, shipping features from accessibility in Acrobat to multi-GPU seq2seq frameworks. At NVIDIA he contributed to open-source OpenSeq2Seq-style tooling and explored robust char-based NMT for noisy input, showing a practical bent for research that improves real-world robustness. Known for moving models from experiment to product, he operates comfortably across research, engineering and cross-platform integration. Based in New York, he combines deep technical rigor with a track record of awards and measurable impact in production software.
9 years of coding experience
5 years of employment as a software developer
Masters of Science, Computer Science, 3.97/4.0, Masters of Science, Computer Science, 3.97/4.0 at Columbia University in the City of New York
Bachelor of Technology (B.Tech.), Computer Engineering, 8.62/10, Bachelor of Technology (B.Tech.), Computer Engineering, 8.62/10 at Delhi College of Engineering
Delhi Public School - R. K. Puram
English, Hindi, French