Shubhanshu Mishra
Staff Machine Learning Engineer at Meta
Urbana, Illinois, United States
Summary
👤
Senior🎓
Top SchoolShubhanshu Mishra is a Staff Machine Learning Engineer with 13 years of experience bridging research and production across major tech companies, currently leading graph learning and foundation-model efforts for Facebook social graphs at Meta. He holds advanced degrees from IIT Kharagpur and a PhD track at UIUC, and has driven high-impact search and personalization initiatives at DoorDash and Instacart that materially improved GMV and conversational search. His background spans web engineering, encryption, and scalable ML—evidenced by contributions to notable open-source projects like an OpenCL-adapted neural-style implementation and Twitter NLP tooling. A seasoned people leader and organizer, he has led global teams of 100+ and run ML journal clubs, pairing technical depth with strengths in marketing, public speaking, and social media strategy. Notably, he combines rigorous academic training in information extraction with hands-on systems work to productionize language and graph models across large-scale consumer products.
13 years of coding experience
14 years of employment as a software developer
High School & Intermediate English Physics Mathematics Computers Science Chemistry, High School & Intermediate English Physics Mathematics Computers Science Chemistry at Boys' High School & CollegeDoctor of Philosophy - PhD Library and Information Science, Doctor of Philosophy - PhD Library and Information Science at University of Illinois Urbana-ChampaignMaster of Science - MS Mathematics & Computing, Master of Science - MS Mathematics & Computing at Indian Institute of Technology, Kharagpur
English, Hindi
Stackoverflow
31reputation
2kreached
1answer
1question
Github Skills (23)
opencl10
caffe10
entity-extraction10
python10
torch-hub10
machine-learning10
lua10
natural-language-processing10
nlp10
torch-net10
gpu-programming9
neural-network9
argparse9
fileio9
file-access9
Programming languages (13)
Github contributions (5)
jcjohnson/neural-style
Sep 2015 - Dec 2015
Torch implementation of neural style algorithm
Role in this project:
ML Engineer
ML EngineerContributions:15 commits, 1 PR, 51 comments in 2 months
Contributions summary:Shubhanshu primarily focused on integrating and adapting the neural style algorithm for OpenCL support, suggesting work on performance and hardware acceleration. They modified the core Torch-based neural style implementation, specifically the `neural_style_opencl.lua` and `loadcaffe_wrapper.lua` files, adding OpenCL compatibility and refining the model loading process. The user's efforts included adjusting the code to work with different hardware backends (nn, cudnn, clnn) and modifying the existing codebase to correctly process the neural style algorithm. This involved adapting the existing Torch based neural style implementation to support different hardware.
deep-learningneural-networktorchneural-style
aritter/twitter_nlp
Jan 2016 - Feb 2016
Twitter NLP Tools
Role in this project:Backend Developer
Backend DeveloperContributions:12 commits, 1 PR, 4 comments in 23 days
Contributions summary:Shubhanshu primarily contributed to the backend of the Twitter NLP tools project. They focused on fixing bugs, such as hardcoded paths, and added features for file input/output operations within the entity extraction functionality. Furthermore, the user made improvements to the code, including commenting out a memory leak fix and adjusting parameters for the NER model. The user also addressed issues related to the Python scripts used for entity extraction.
nlpnlp-toolstwitter
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