Production apps on Google Play and Fire TV, Tamil computing tools, and the research tooling behind them.
Production apps on Google Play and the Amazon Appstore.
The Android application behind an international money-transfer platform. I led its migration to Jetpack Compose and a scalable MVVM architecture, integrated GraphQL through Apollo Client, and built the automated test suite and CI/CD workflows behind it.
An accessibility-focused Android application designed to make Tamil text more accessible through OCR technologies — the applied side of my research.
An Android application providing access to classical Tamil literature with a focus on usability and accessibility.
A streaming application for The Viral Fever's catalogue, including the migration of the codebase from Java to Kotlin.
The large-screen edition, built on Leanback with a custom video player module covering resolution control, captions, and playback navigation.
The Amazon Fire TV edition, adapting the large-screen experience to Fire OS and its remote-first interaction model.
An ongoing research initiative focused on improving handwritten Tamil optical character recognition using Tesseract OCR and AI-assisted post-processing.
A Python tool that generates ground truth data for Tesseract OCR
in Tamil — normalising raw text, rendering it across multiple
fonts into TIFF/.gt.txt pairs, verifying the result,
and scoring models with CER and WER. It produced the published
synthetic OCR dataset.
An Android application developed to improve access to Tamil digital books, supporting open knowledge and community-driven publishing.
A personal engineering lab built around Raspberry Pi, Home Assistant, Linux, Docker, and self-hosted services — used to experiment with automation and embedded technologies.
I strongly believe software should empower communities.
I actively contribute through code, issue discussions, documentation, and community collaboration — always aiming to build software that others can learn from and extend.