Rahul Kadam
New Grad (MS Comp Eng, NYU ’25) | ML Systems, ML Infra, Distributed Training | OSS
- Role
- Research Engineer (Cai2r Lab) at NYU Langone Health
- Location
- Brooklyn, NY, US
- LinkedIn followers
- 500 followers
About Rahul Kadam
New-grad ML Systems / SWE-in-ML focused on GPU efficiency, distributed training, and reproducible ML tooling- Merged upstream open-source PR to Opik (Comet ML): added BLEU metrics and tests/docs- Built reproducible GPT-2 distributed training benchmark on Slurm/V100: fixed-work protocol, scaling and audit logs- Research engineering at NYU Langone (CAI2R): PyTorch/CUDA workflows with correctness checks and evaluation metrics.Targeting New Grad / Early Career roles in ML Systems / Training Infra / SWE-in-ML Platform (NYC/US).
Experience
Research Engineer (Cai2r Lab)
Jul 2025 — Present · New York, NY, US
Ported MRI reconstruction research code from MATLAB → Python/PyTorch, and added numerical parity checks to validate outputs against legacy implementations- Implemented sampling/optimization components (e.g, BASS-style sampling + per-iteration metric logging such as k-space NRMSE / SSIM) to support systematic experiments- Optimized training/evaluation workflow for GPU runs (V100) by standardizing configs, seeds, and run artifacts for reproducibility.
Education
University of Mumbai
Bachelor of Engineering - BE, Computer Engineering
2017 — 2021
New York University
Master's degree, Computer Engineering
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