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System-level engineer building reliable backend systems with a focus on performance, correctness, and real-world constraints. I work across APIs, databases, networking, and infrastructure, enjoy understanding how systems behave under load and failure, and write to break down complex backend and distributed-systems concepts through practical, real-world learnings.
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I document what I learn, build, and reflect on during weekends and free time. This is a progress log, not tutorials—just honest notes on engineering, mistakes, and growth as a software engineer.
When I first built ReviewBuddy, it started as a simple GitHub Action written in Shell Script. At that time, the goal was straightforward:👉 get something working fast, validate the idea, and ship. And shell scripting did its job. But as ReviewBuddy s...
Building an AI agent that deploys Cloudflare Workers with LangChain.js, and the Redis circuit breaker that keeps it running after the free tier dies.
How AxioDBCloud went from an open TCP socket to a TLS-encrypted, authenticated, pooled, and AI-drivable system in seven days. There is a specific kind of discomfort that comes from looking at your ow
Most Node.js tutorials stop at "it works on my machine." Production is where the interesting failures live, and they rarely show up in your logs. Memory climbs for no visible reason. One endpoint pegs
Recently, I got invited to mentor at HackArena 2.0 - Kolkata Zonals, held at Jadavpur University. Honestly, when the invite landed in my inbox from the Ignite Room team, I wasn't sure what to expect.
The pricing problem that would not leave me alone I have been working with Cloudflare Workers for a long time now. I have contributed to a few open source tools in the Workers ecosystem, deployed Work
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20 posts
How I Built BanglaCode — a Banglish Programming Language — in a Sunday Vibe 🚀
Sunday, 8 Feb 2026 — the world already feels different from what it used to be even 3 years ago. AI in 2026 isn’t just an autocomplete or helper; it is a reasoning partner. Today I experienced that shift firsthand.
Before this morning, I asked myself a simple question: Can code speak Bangla? Not just comments or variable names, but real logic written in Banglish — a syntax that feels like my mother tongue, not English. So I started building BanglaCode — a Banglish-styled programming language powered by GoLang 🐹.
For context, the language I envisioned was not just a gimmick — it has structured syntax, keywords, and rules. It supports typical programming constructs like variable definitions, functions, loops, and expressions, but written in Bangla transliteration — making programming logic feel natural for Bengali-speaking thinkers. I drafted grammar rules inspired by syntaxes you see in languages like C/Go, but adapted to Banglish expressions (taking cues from the SYNTAX document I created in the GitHub repo). Although the syntax file itself is long and detailed, the core idea was: make programming feel conversational rather than foreign.
💡 An example from the BanglaCode syntax mindset:
Instead of writing if (x > 5) { … }, you might express it in a Banglish style that speaks closer to your intuition. This is not just code — it’s language that thinks like you do.
I didn’t just scribble pseudocode. I went into Go, built the lexer, parser, and interpreter logic — I vibe-coded it. Because in 2026, the AI tools I use understand patterns, logic, and intent — not just text matching. They help me reason with the language, not just autocomplete lines.
By afternoon, I had a working prototype:
✔️ BanglaCode compiles
✔️ Test code runs
✔️ Syntax rules from my design are respected
✔️ It even handles basic control flows and variables
…and most importantly, it felt alive — like it could grow into something real, not just a weekend project.
What did this teach me about programming in 2026?
👉 AI doesn’t replace humans — it amplifies clarity.
If your logic is weak, AI amplifies confusion.
If your logic is strong, AI becomes unbelievably powerful.
Today I didn’t just write a language; I experienced the future of programming — where AI helps you translate an idea directly into structured logic without getting bogged down by foreign syntax. In 2026, programming isn’t about memorizing keywords — it’s about formulating thought clearly enough for a machine to understand and execute.
And on a Sunday? That’s a vibe. 😄🔥
