Susnato Dhar
West Bengal, India
Summary
🤩
Rockstar🎓
Top SchoolSusnato Dhar is a machine learning engineer with six years of experience specializing in computer vision, NLP, and applied deep learning. He has contributed to high-impact open-source ML infrastructure, including tests and model additions for the widely used Hugging Face transformers library, improving model loading and memory usage. At Sourcegraph he enhanced Cody’s Context Engine by building embedding retrievers, fine-tuning and deploying rerankers, and prototyped a multi-agent Code‑Gym simulator to automate dataset generation and model evaluation. His technical toolkit centers on Python and architectures such as ResNets, EfficientNets, YOLO, UNet, Transformers and BERT, complemented by practical SQL and Git skills. Active on Kaggle and with projects like real-time trigger-word detection, he blends research-minded experimentation with production-focused engineering. Based in West Bengal, he pairs a BTech in Computer Science with hands-on open-source experience that surfaces non-obvious optimizations in model deployment.
6 years of coding experience
1 year of employment as a software developer
High School Diploma, High School Diploma at Dum Dum Kishore Bharati High SchoolBachelor of Technology - BTech, Computer Science, Machine Learning, Deep Learning, Bachelor of Technology - BTech, Computer Science, Machine Learning, Deep Learning at University of Engineering & Management (UEM)
English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (13)
transformers10
pytorch10
machine-learning10
language-model10
deep-learning10
python10
natural-language-processing9
model-optimization9
tensorflow9
resource-loading9
preloading9
data-loading9
bert7
Programming languages (8)
Github contributions (5)
huggingface/transformers
Jan 2023 - Jan 2023
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Role in this project:
ML Engineer
ML EngineerContributions:269 reviews, 3 commits, 24 PRs in 8 days
Contributions summary:Susnato primarily focused on addressing issues and implementing tests related to the loading of models and their memory usage, specifically targeting the "transformers" library. They added a test for `low_cpu_mem_usage` with `gpt2` model, which suggests an effort to optimize model loading. Furthermore, they addressed and fixed issues relating to the use of `vocab_size` and `type_vocab_size` in various models like `Tapas`, `Deberta`, and `TFDeberta`. Finally, they added the Ernie-M model to huggingface including code and configs.
pythonbertspeech-recognitionstate-of-the-artflax
susnato/transformers
Jan 2023 - Apr 2024
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Contributions:1 PR, 265 pushes, 21 branches in 1 year 3 months
pytorchnlptransformersartdeep-learning
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.