Tata Ganesh
Senior Software Engineer I, Machine Learning at Poshmark
Bengaluru, Karnataka, India
Summary
🤩
Rockstar🎓
Top SchoolTata Ganesh is a Senior Software Engineer I specializing in machine learning with nine years of experience building and deploying real-time computer vision and perception systems for edge devices. He has delivered high-throughput inference pipelines (100 FPS) using TensorRT and Triton, developed C++ sensor and synchronization APIs for autonomous farming, and achieved 92% mIoU on segmentation tasks. His academic work at the University of Alberta focused on query-efficient black-box approximation for OCR, cutting cloud API costs dramatically while retaining performance—an example of practical, cost-aware ML. Tata is an active open-source contributor to Cleanlab, improving data-centric tooling for messy real-world datasets and adding memory- and imbalance-aware features that aid production workflows. Having worked across startups and research labs in Canada and India, he blends systems-level engineering with applied ML research to move models from prototype to constrained-edge production.
9 years of coding experience
7 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at University of AlbertaSt. Angels Sr. Sec. SchoolHigh School, 93.2% CBSE Class 12, High School, 93.2% CBSE Class 12 at D.T.E.A. Sr. Sec. SchoolBachelor of Technology - BTech, Computer Science, CGPA - 9.52, Bachelor of Technology - BTech, Computer Science, CGPA - 9.52 at Vellore Institute of Technology, Chennai
English, Tamil, Hindi, Telugu, Spanish
Stackoverflow
1,140reputation
37kreached
34answers
4questions
Github Skills (14)
data-labeling10
data-quality10
python10
data-science10
numpy9
machine-learning9
pandas9
documentation8
opencv6
bounding-box6
angle6
math6
list-comprehension6
image-processing6
Programming languages (5)
Github contributions (5)
cleanlab/cleanlab
Jun 2023 - Oct 2024
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Role in this project:
Data Scientist
Data ScientistContributions:65 reviews, 16 PRs, 102 comments in 1 year 4 months
Contributions summary:Tata primarily contributes to the Cleanlab project by modifying and enhancing the datalab tutorial documentation. Their work involves optimizing plots for better display within the scroll window, and adding new issue types such as "imbalance" to the datalab guide. The user also exposed the low memory option for specific functions, optimizing the workflow to support memory-constrained environments. These efforts collectively improve the usability, functionality, and accessibility of the Cleanlab package.
operationdata-preprocessingtext-annotationreal-world-datadata-labeling
tataganesh/cleanlab
Jun 2023 - Aug 2024
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Contributions:105 pushes, 33 branches in 1 year 1 month
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