// developer · qa · ai-augmented
Developer and QA engineer. I ship Android apps, Python tools, JetBrains plugins and web experiments, and I lean on AI every day (Copilot, Claude, Codex, local LLMs, MCP agents) to move faster, test deeper, and stay sharp as the toolchain evolves.
A few projects from my GitHub.
刻 Koku, a local-first time tracker, notes workspace and AI assistant. Track time, connect notes into a knowledge graph, and generate stand-ups and monthly reports with the LLM of your choice, all stored in your own browser by default, with an optional cloud mode for teams built on the same codebase.
AI-powered browser automation through MCP. Connect any MCP-compatible agent
(Copilot, JetBrains AI, Claude Desktop, Cursor…) to a real browser and let it
navigate, click, type, screenshot and inspect, guarded by safety tiers and
domain allowlists. Or skip the AI entirely: chat to a built-in
in-browser panel (⌘⇧K), or fire your own Playwright / Node
scripts through the extension.
A responsive multi-page restaurant site built with Django and deployed on Render.
Case study →Speech recognition and AI experiments in Python.
View on GitHub ↗A location-aware alerting application built for the IBM nalaiya thiran program.
View on GitHub ↗A simple YouTube video downloader utility written in Python.
View on GitHub ↗A demo Android app integrating Razorpay payments.
View on GitHub ↗Productivity plugins I've built for IntelliJ IDEA and the broader JetBrains family. Source lives in IntelliJ-Plugins.
Chromium/Firefox extension + Node MCP server that gives AI agents a real browser to drive, with layered safety tiers, local-only transport and token-efficient batch tools.
Manage Git's assume-unchanged flag from inside any JetBrains IDE,
with a dedicated tool window, multi-repo support and bulk actions.
Blocks git push when compilation errors exist, from both the IDE
push dialog and terminal git, via a managed pre-push hook.
Computers and gadgets have always piqued my curiosity. I started tinkering as a college student and I've been shipping small things ever since, mostly in Python, Java/Kotlin and Android, with a recent obsession for JetBrains plugin APIs.
I work across development and QA, building features one week, stress-testing and automating regression flows the next. That dual lens keeps my code honest and my test plans realistic.
I treat AI as a core part of my toolchain, not a gimmick. I've been an early beta tester of GitHub Copilot since 2022, back when it was invite-only, and I've watched (and helped shape, in my small way) how it's evolved ever since. Day-to-day I pair with GitHub Copilot, Claude and Codex for code, reviews and refactors; drive browser and IDE workflows through MCP agents (including my own AutoDOM); use LLMs to generate edge-case test data and explore unfamiliar codebases; and keep a healthy skeptic's eye on everything they produce. The goal is to stay relevant as the stack evolves, not to outsource the thinking.
“There are 10 kinds of people in the world: those who understand binary numerals, and those who don't.” (Ian Stewart)
Have an idea, a project, or just want to say hi? My inbox is open.
aswin2kumarforme@gmail.com