Mrinal Mohit
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolMrinal Mohit is a seasoned AI software leader and researcher with about a decade of experience building scalable NLP and enterprise AI systems. As a founding engineer and manager at Glean, he led the AI strategy for the Glean Assistant, blending search, RAG/LLMs, and cross-domain integration across GDrive, Slack, Jira, Salesforce, Gmail, etc., and grew the team to 10+ engineers while publishing eight patents. At Meta, he co-created PyText, led semantic parsing and on-device inference for AR/VR products, and contributed to a COVID-19 WhatsApp chatbot that served 14 million users in 20 languages. His open-source work on PyText underpins billions of daily predictions across Ads and Translation, and he has a track record of shipping production-grade NLP systems and training/inference infrastructure. He holds an MIT Media Lab master's degree and IIT Kharagpur BS in EE/CS, and is currently a Visiting Researcher at Neuralink, enabling exploration at the intersection of AI, NLP, and human-computer interaction. Outside of work, he is an avid photographer whose work has been featured by UNESCO and National Geographic.
10 years of coding experience
7 years of employment as a software developer
Master’s Degree, MIT Media Lab, Master’s Degree, MIT Media Lab at Massachusetts Institute of TechnologyBachelor’s Degree, Electrical Engineering and Computer Science, Bachelor’s Degree, Electrical Engineering and Computer Science at Indian Institute of Technology, Kharagpur
English, Hindi
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (5)
unit-testing10
pytorch10
nlp10
torchscript9
data-preprocessing9
Programming languages (4)
Github contributions (5)
facebookresearch/pytext
Jan 2019 - Apr 2020
A natural language modeling framework based on PyTorch
Role in this project:
ML Engineer
ML EngineerContributions:9 commits, 13 PRs, 2 comments in 1 year 2 months
Contributions summary:Mrinal primarily contributes to testing and improving the `pytext` framework, focusing on Natural Language Processing tasks. Their work includes adding unit tests for RNNG data structures and parser components. The user also modifies the codebase to address unkification and number mapping, demonstrating a focus on data preprocessing and model optimization within the NLP framework. Furthermore, they migrated a serving tutorial to TorchScript.
pytorchnlpbertmachine-learningnatural-language
wowitsmrinal/dotfiles
May 2020 - May 2024
Contributions:79 pushes, 1 branch in 4 years
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