Zeel Patel
Postdoctoral Researcher at Microsoft India
Gujarat, India
Summary
🤩
Rockstar🎓
Top SchoolZeel Patel is a postdoctoral researcher and machine learning practitioner with six years of experience bridging academic research and production ML engineering. Based in Gujarat and completing a PhD at IIT Gandhinagar focused on deep learning and air quality, Zeel combines strong research rigor with hands-on contributions to high-profile open-source projects like matplotlib and domain-specific libraries for probabilistic ML and state-space models. Their open-source work shows practical interoperability improvements—enabling matplotlib to handle JAX and PyTorch arrays—and performance-minded CV tooling for oriented object detection and expanded image-format support. Having built AI-driven anomaly detection systems in industry and maintained CI/build infrastructure in research codebases, Zeel is comfortable across the full ML lifecycle from modeling and evaluation to deployment and developer experience. An insightful but less obvious strength is their knack for improving tooling and tests, which reduces friction for other researchers and engineers adopting advanced numerical libraries.
6 years of coding experience
Doctor of Philosophy - PhD, Machine Learning, Deep Learning, Air Quality, 9.7, Doctor of Philosophy - PhD, Machine Learning, Deep Learning, Air Quality, 9.7 at Indian Institute of Technology Gandhinagar
Stackoverflow
721reputation
43kreached
11answers
3questions
Github Skills (28)
data-visualizations10
pytorch10
python10
data-science10
image-processing10
machine-learning10
data-visualisation10
numpy10
gaussian-processes10
object-detection10
computer-vision10
data-visualization10
jax10
testing9
notebook9
Programming languages (12)
Github contributions (5)
probml/pyprobml
Mar 2022 - Jan 2023
Python code for "Probabilistic Machine learning" book by Kevin Murphy
Role in this project:
Data Scientist
Data ScientistContributions:1 release, 13 reviews, 1272 commits in 10 months
Contributions summary:Zeel primarily contributed to the development and refinement of machine learning models within the "Probabilistic Machine learning" repository. They focused on implementing and improving plotting scripts related to the analysis of the beta-binomial model and deep kernel learning for Gaussian processes. The contributions involved updating code, adding new notebooks, and ensuring the functionality of existing notebooks.
pythonpmlflaxcolabpymc3
roboflow/supervision
Aug 2024 - Feb 2025
We write your reusable computer vision tools. 💜
Role in this project:ML Engineer
ML EngineerContributions:5 reviews, 2 PRs, 25 comments in 5 months
Contributions summary:Zeel primarily contributed to the implementation and enhancement of computer vision tools within the repository. They added a function `oriented_box_iou_batch` for calculating Intersection over Union (IoU) for oriented bounding boxes, indicating work related to object detection. They also made changes related to expanding image format support and replacing cv2 with PIL for speed, demonstrating efforts towards improving performance and usability. Furthermore, the user's work on expanding image formats, including grayscale images, supports image processing capabilities.
classificationcococomputer-visiondeep-learningimage-processing
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