Riddhiman Dasgupta
Principal Applied Science Manager at Microsoft
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolRiddhiman Dasgupta is a Principal Applied Science Manager at Microsoft with 12 years of experience applying deep learning to vision and language problems, currently leading multimodal search, recommendation, and revenue efforts for Bing Multimedia. He combines academic rigor from an MS by Research at IIIT Hyderabad—where his thesis explored multi-objective deep networks—with extensive production experience optimizing models for large-scale data, high throughput, and low latency. Riddhiman has driven end-to-end ML lifecycles from problem formulation and data labeling to deployment and A/B testing, and has a background in NLP and summarization from his time at IBM. Known for bridging research and engineering, he focuses on practical generative and multimodal solutions that improve query-image relevance in real-world search systems. Outside of work he blends technical curiosity with creative interests like science fiction and comic books, reflecting a preference for imaginative problem framing that often surfaces in novel model approaches.
12 years of coding experience
13 years of employment as a software developer
High School, Science, High School, Science at South Point High SchoolMaster of Science (MS), Computer Science, Master of Science (MS), Computer Science at International Institute of Information Technology Hyderabad (IIITH)Bachelor of Technology (B.Tech.), Computer Science and Engineering, Bachelor of Technology (B.Tech.), Computer Science and Engineering at Heritage Institute of Technology
English, Bengali, Hindi
Stackoverflow
363reputation
52kreached
3answers
9questions
Github Skills (87)
python10
deep-learning10
gpu10
fairness-ml10
cython10
gpu-acceleration10
acceleration10
onnx10
hardware-acceleration10
numpy10
neural-network10
nlp10
tensor10
text-classification10
tensorflow10
Programming languages (5)
Github contributions (5)
dasguptar/treelstm.pytorch
Apr 2017 - Aug 2018
Tree LSTM implementation in PyTorch
Contributions:44 commits, 8 PRs, 37 pushes in 1 year 4 months
deep-learningpytorchlstmmachine-learning
dasguptar/pytorch
Jan 2018 - Nov 2019
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Contributions:5 commits, 5 pushes, 2 branches in 1 year 10 months
pythongpu-accelerationdeep-learninggpuacceleration
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.