Independent ML Interpretability Researcher with 8+ years of experience as a Data Scientist, specialising in developing and deploying OCR systems, search engines, recommender systems, NLP and time series forecasting models.
Also, I’m an independent contributor to an ML Interpretability research project working along with a team from NYU (recently got accepted in ICLR 2025 Blogpost Track) and a contributor to the Open-Source library Minari - Farama Foundation.
Willing to relocate: Negotiable (depends on the role, remote is my first priority)
Technologies: Python, Pytorch, Pyspark, SQL, ElasticSearch, Docker, FastAPI, Flask, Azure, Airflow, GCP, Machine learning, Deep Learning, NLP, RecSys, Reinforcement Learning, LLMs, AI Interpretability.
Résumé/CV:https://drive.google.com/file/d/1Q0DZX5LjM6Ty36EPSn4wbvmFDQ5...
Email: jshrey8@gmail.com
Github: https://github.com/shreyansjainn
Portfolio: https://shreyansjainn.github.io/
Independent ML Interpretability Researcher with 8+ years of experience as a Data Scientist, specialising in developing and deploying OCR systems, search engines, recommender systems, NLP and time series forecasting models.
Also, I’m an independent contributor to an ML Interpretability research project working along with a team from NYU (recently got accepted in ICLR 2025 Blogpost Track) and a contributor to the Open-Source library Minari - Farama Foundation.