Pritthijit Nath
PhD Candidate
Cambridge, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolPritthijit Nath is a PhD candidate at Cambridge’s AI4ER program with seven years of hands-on experience building ML, data engineering, and automation systems across academia and industry. He combines rigorous research—spanning environmental AI, adversarial robustness, and spatio-temporal pollution forecasting—with practical production work such as DNS resolver performance analysis at Cloudflare and data pipelines for VC and IoT projects. Comfortable across Python, cloud deployments, and database-driven APIs, he has delivered end-to-end solutions from sensor data ingestion to CRM integrations and GPT-driven workflows. Pritthijit’s background blends deep-domain modeling (novel hybrid learners and Transformer studies) with pragmatic tooling (auto-onboarding, gRPC APIs, ClickHouse analytics), making him effective at translating research insights into operational systems. Based in Cambridge and seeking ML Engineer / MLOps / Software roles in London, he maintains a public portfolio that highlights both experimental reproducibility and deployable engineering.
7 years of coding experience
3 years of employment as a software developer
MSc Computing (Artificial Intelligence and Machine Learning), MSc Computing (Artificial Intelligence and Machine Learning) at Imperial College LondonBEng (Hons.) Computer Science and Engineering, BEng (Hons.) Computer Science and Engineering at Jadavpur UniversityMRes + PhD AI for the study of Environmental Risks (AI4ER), MRes + PhD AI for the study of Environmental Risks (AI4ER) at University of CambridgeKG - Class X, KG - Class X at The Assembly of God Church School - IndiaClass XI - XII, Class XI - XII at Delhi Public School, Ruby Park
Bengali, English, Hindi
Github Skills (91)
ivy10
python10
mxnet10
abstraction10
deep-learning10
gpu10
numpy10
neural-network10
jax10
translation10
nvidia10
tensorflow10
pytorch10
converter10
machine-learning10
Programming languages (10)
Github contributions (5)
p3jitnath/climate-rl
Jan 2024 - Mar 2025
Code repository for the 2024 AI4ER MRes Project - Towards improving weather and climate models using reinforcement learning
Contributions:3 releases, 11 PRs, 70 pushes in 1 year 2 months
nathzi1505/nathzi1505.github.io
Aug 2021 - Aug 2023
Contributions:58 pushes in 2 years 1 month
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