Saurav Maheshkar
Member Of Technical Staff at .txt
London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolSaurav Maheshkar is a Machine Learning Engineer in Manchester with five years of experience building reliable, production-ready ML components and improving developer workflows. A Google Developer Expert and Kaggle 4x Expert (UoM '25), he pairs competitive modeling chops with engineering rigor—evident in test and coverage work for PyTorch Geometric, a ConvTranspose layer contribution to Trax, and type-hint and CI improvements across Nerfstudio. He also focuses on experiment reproducibility and observability, integrating Weights & Biases into example projects and CI pipelines. Known for elevating code quality and developer experience, he helps bridge research models and robust deployment.
5 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at The University of Manchester
English, Hindi
Github Skills (36)
unit-testing10
pytorch10
convolutional-neural-networks10
serf10
pytest10
python10
testing10
machine-learning10
numpy10
tensorflow210
deep-learning10
tensorflow10
neural-network10
computer-vision10
convolutional-neural-network10
Programming languages (21)
Github contributions (5)
wandb/examples
Nov 2021 - Jan 2023
Example deep learning projects that use wandb's features.
Role in this project:
ML Engineer
ML EngineerContributions:9 reviews, 5 commits, 10 PRs in 1 year 1 month
Contributions summary:Saurav primarily contributes to example projects demonstrating the use of Weights & Biases (wandb) in machine learning workflows. They refactored code, added `wandb.finish()` calls, and integrated wandb functionalities into existing projects involving scikit-learn and TensorFlow. The user also added new Colab notebooks to illustrate the use of wandb with K-Means clustering and weight initialization methods and integrated Tensorboard. Their work focuses on enhancing experiment tracking and visualization using wandb.
pytorchdeep-learningdeep-learning-examplemachine-learningwandb
nerfstudio-project/nerfstudio
Jan 2023 - Apr 2024
A collaboration friendly studio for NeRFs
Role in this project:ML Engineer
ML EngineerContributions:7 reviews, 12 PRs, 30 pushes in 1 year 2 months
Contributions summary:Saurav primarily contributed to improving type hints across the codebase, specifically in the context of NeRF (Neural Radiance Fields) and related components. They updated type hints in engine, cameras, fields, and exporter modules. This involved modifying function signatures, adding type annotations, and addressing type-related issues. Additionally, the user made improvements to the CI/CD pipeline.
pytorchphotogrammetrydeep-learningcomputer-vision3d-reconstruction
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