Top expert inTelegram Bot Development for Cloud Storage and Torrent Mirroring
Christy Roys is a Senior Engineer with seven years of experience building backend systems, automation, and cloud-deployed bots, currently at QBurst. A BTech in Computer Science from APJ Abdul Kalam Technological University, she combines strong Python skills with practical DevOps experience—adding Heroku support and environment-driven configs to production bots. Christy has a track record of building tooling for Telegram ecosystems (indexing chats, file serving, upload and screenshot bots) where she implemented media handling, authentication, and logging to make resilient services. She was one of 50 winners in the National Programming Contest (Computer Society of India, 2020), reflecting competitive problem-solving ability beyond day-to-day engineering. Based in Kerala, she publishes projects at odysseusmax.com and on GitHub, signaling an active open-source mindset and a focus on pragmatic, end-to-end feature delivery.
7 years of coding experience
4 years of employment as a software developer
Bachelor of Technology - BTech, Computer Science, Bachelor of Technology - BTech, Computer Science at APJ Abdul Kalam Technological University
Contributions:270 commits, 18 PRs, 221 pushes in 10 months
Contributions summary:Christy appears to be primarily focused on developing the backend functionalities of a Telegram bot designed for screenshot generation. Their commits show significant work within the `bot` directory, specifically in the `bot/plugins` and `bot/utils` directories. The commits involved modifying the media processing logic in the `media.py` and the implementation of screenshot generation function in `utils.py` by using `ffmpeg`. The user contributed to the integration with external services like `LINK_GEN_BOT` .
Python web app to index telegram chats and serve its files for download over HTTP.
Role in this project:
Back-end Developer
Contributions:2 reviews, 88 commits, 9 PRs in 1 year 2 months
Contributions summary:Christy primarily contributed to the development of a Python-based web application for indexing and serving Telegram chat files over HTTP. Their work involved implementing core functionalities such as message retrieval, file handling, and download serving. They added features such as multiple channel indexing, support for different media types, and UI improvements, and incorporated logging and authentication. The commits demonstrate a focus on building the backend logic and integrating the Telegram Telethon library.
downloadtelegram-botpythonpython-webtelethon
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