
During a one-month Infosys internship, contributed to the Object-Recognition-System__Infosys_Internship_Feb2025 repository by building end-to-end data preparation and annotation tooling for computer vision workflows. Developed Jupyter Notebooks and Python scripts to automate dataset acquisition, exploration, and conversion, focusing on the COCO dataset. Implemented utilities for converting COCO annotations to YOLO format, including bounding box normalization and category remapping, and created visualizations to assess dataset integrity and distribution. Leveraged skills in data engineering, data visualization, and cloud storage to streamline model training setup, enabling reproducible pipelines and reducing manual errors. The work emphasized practical, production-ready solutions for machine learning experimentation.
March 2025 monthly summary for Object Recognition System Infosys Internship: Delivered data preparation, exploration, and annotation tooling to streamline model training workflows, with robust dataset handling and easy experiment setup. Focused on practical business value by enabling reproducible data pipelines and faster iteration cycles.
March 2025 monthly summary for Object Recognition System Infosys Internship: Delivered data preparation, exploration, and annotation tooling to streamline model training workflows, with robust dataset handling and easy experiment setup. Focused on practical business value by enabling reproducible data pipelines and faster iteration cycles.

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