Dipika Singhania
Applied Scientist 2 at Amazon
India
Summary
👤
Senior🎓
Top SchoolDipika Singhania is an Applied Scientist with a PhD in Computer Science from NUS and 10 years of experience building production-ready software and research-grade computer vision systems. She specializes in temporal activity localization in long untrimmed videos, with publications in top vision and AI conferences, and now applies that expertise to industrial problems at Amazon. Her background spans deep learning research, teaching neural networks and ML courses, and hands-on engineering in languages from Python and C++ to JavaScript and Shell across Linux and Windows. Prior roles in EDA and high-frequency trading gave her strong foundations in compilers, low-latency systems, and debugging large, long-running processes. She combines academic rigor with practical product experience—publishing research while shipping robust, scalable code—and maintains teaching and tutorial notebooks publicly to help others bridge theory and practice. Pragmatic and curious, she enjoys turning complex vision models into tools that solve real business challenges.
10 years of coding experience
4 years of employment as a software developer
Bachelor of Technology (B.Tech.), Computer Science, Bachelor of Technology (B.Tech.), Computer Science at Bengal Engineering and Science University, ShibpurIsc, science, Isc, science at St. Teresas khidderporeDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at National University of Singapore
English, Hindi, BengaliProgramming languages (1)
Github contributions (5)
dipika-singhania/C2F-TCN
Jun 2021 - Mar 2022
Contributions:8 commits, 7 pushes, 1 branch in 9 months
dipika-singhania/multi-scale-action-banks
Oct 2019 - Dec 2020
Contributions:10 commits in 1 year 2 months
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