Experiences

Key Responsibilities

• Selected as contributor to AOSSIE for PictoPy; delivered 20+ pull requests with major frontend performance and CI/CD enhancements.
• Set up Redux Toolkit, implemented auto-updater, revamped UI/UX using React, and resolved critical bugs.
• Serving as project maintainer, overseeing issues and reviewing PRs from contributors.

Key Responsibilities

• Selected as a contributor to the AOSSIE organisation to work on the project PictoPy, delivering major enhancements and new features under GSoC 2025 with 20+ pull requests.
• Served as the maintainer of PictoPy, overseeing issues, assigning tasks, and reviewing PRs.
• Optimized frontend memory usage by 6 times.
• Created CI/CD workflows to generate builds for Windows, Mac, and Linux, adding caching to reduce pipeline execution time by 2 times.
• Set up Redux Toolkit for proper state management and implemented an auto-updater for the desktop app.

Key Responsibilities

• Engineered an end-to-end diabetes risk prediction system using Python and Flask, implementing a custom machine learning algorithm analyzing 8 parameters to provide real-time risk assessments.
• Built a web app with RESTful API architecture featuring interactive prediction forms and batch processing capabilities using a Bootstrap UI.
• Deployed healthcare analytics platform utilizing the Pima Indians Diabetes Dataset to deliver accurate risk classifications and probability metrics.