ChatGptBot
AI-powered Telegram bot with conversational flow, context awareness, and a user-friendly automation layer.
status: online, shipping
CSE student at Dayananda Sagar College of Engineering, Bengaluru. I enjoy building practical automation, backend workflows, and system-level tools with Python and C, while constantly improving my engineering instincts through hands-on projects and problem solving.
whoami
yashas-v-giri, python & c developer
cat sysinfo
loc Bengaluru, IN uni DSCE, CSE '30 langs Python, C infra Docker, Redis, Mongo, AWS mode learning + building
uptime
tinkering since 2016, shipping ideas into working systems
./open_to_work.sh
exit 0 internships, collabs, and interesting technical problems welcome
// about
It started in 2016 with flashing custom ROMs on phones to understand how things really work beneath the surface. That curiosity evolved into a broader obsession with systems, automation, backend logic, and tools that make life easier for users and teams alike.
Over the years, I’ve built Telegram bots, cloud-connected workflows, storage and automation tools, and experiments around real problems that needed practical engineering. I learn by building, shipping, and iterating — whether the challenge is backend reliability, API design, automation, or making a system feel smooth and dependable for real users.
$ git log --oneline
Used Linux, shell access, and device-level debugging to understand boot flows, Android internals, and how system changes affect real hardware. This was my first deep dive into how operating systems actually behave under the hood.
I started learning Linux, shell scripting, hosting workflows, and the fundamentals of backend infrastructure. That pushed me from curiosity into understanding servers, deployment, and how systems connect in the real world.
This was the period where I used Python, Telegram bot APIs, file handling, and cloud workflows to build practical automation tools like ChatGptBot, google-drive-telegram-bot, and File-Sharing-Bot. I learned how to design services that actually solve user problems and handle real inputs reliably.
I expanded into Docker, Linux environments, MongoDB, Redis, and cloud deployment patterns to make my tools more resilient and production-ready. This is where I moved from single-purpose bots to infrastructure-aware systems that needed stability and scalability.
By this stage I was using Python for backend automation and Go for remote execution and service logic, alongside Linux and shell tooling for operations. Projects like xruncode, Terminal-Bot, and stream/search bots sharpened my understanding of command execution, automation, and system design.
I focused on AI-related tooling, prompt-driven workflows, automation stacks, and practical experimentation with Python-based integrations and intelligent assistants. This period helped me explore how LLMs and automation tools can be applied to real workflows while keeping my engineering instincts grounded in problem solving.
Dayananda Sagar College of Engineering, Bengaluru. I’m continuing this journey by combining systems thinking, practical project experience, and stronger engineering fundamentals to build software that solves meaningful problems.
~/projects
AI-powered Telegram bot with conversational flow, context awareness, and a user-friendly automation layer.
Drive management bot for uploads, file retrieval, and workflow automation built around Telegram chat interactions.
Content-sharing system designed for controlled access, streamlined file delivery, and practical bot-based workflows.
Search and discovery bot optimized for fast lookups, media access, and user-request-driven information retrieval.
Remote command execution service built in Go, focused on execution, automation, and reliable command handling.
Shell-driven automation bot that executes commands remotely and surfaces output cleanly for interactive workflows.
$ cat stack.txt
$ ./start_conversation.sh