Chitwan Saharia
AI Research Scientist at Meta
Old Toronto, Ontario, United States
Summary
👤
Senior🎓
Top SchoolChitwan Saharia is a seasoned AI software engineer and founder with nine years of experience building advanced machine learning systems. Currently co-founder of Ideogram in Toronto, he blends research excellence with product leadership to advance AI-driven communication. Earlier at Google, he held roles from AI Resident to Senior Research Scientist, contributing to deep learning, reinforcement learning, and NLP. His work at MILA and Université de Montréal on grounded language learning with a human in the loop informs a practical, research-to-product mindset. On GitHub, he has actively contributed to the BabyAI platform, improving curriculum learning, batch sampling, TensorBoard logging, and early stopping to optimize RL training workflows. He holds a Bachelor's in Computer Engineering from IIT Bombay, with a track record spanning academia and industry across Canada and Montreal.
9 years of coding experience
5 years of employment as a software developer
Indian Institute of Technology Bombay
English, Hindi
Stackoverflow
31reputation
9kreached
1answer
1question
Github Skills (7)
imitation-learning10
machine-learning10
python10
tensorboard9
nlp8
pdb6
uniform-distribution6
Programming languages (4)
Github contributions (5)
mila-iqia/babyai
Jun 2018 - Oct 2018
BabyAI platform. A testbed for training agents to understand and execute language commands.
Role in this project:
ML Engineer
ML EngineerContributions:77 commits, 6 comments, 5 issues in 3 months
Contributions summary:Chitwan primarily focused on modifications and debugging within the curriculum learner, a core component of the BabyAI platform. Their contributions involved adjustments to the curriculum learner's parameters and early stopping mechanisms, indicating an effort to optimize the training process. The code changes included modifications to the batch sampler and the integration of tensorboard logging, suggesting improvements in the training workflow and performance monitoring of reinforcement learning environments.
nlpagentsmachine-learningimitation-learningnlp-machine-learning
iterative-refinement/iterative-refinement.github.io
Jun 2021 - Nov 2021
Contributions:54 commits, 54 pushes in 5 months
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