Final-year CS student at SIT (MAKAUT) . Research assistant, University of Manchester . Builder of things that probably shouldn't work but do.
I got into programming at 14 through security research -- no proper setup, just constrained hardware and too much curiosity. That spirit of figuring things out from first principles is still what drives most of what I build. Most of my work has and continues to come from me being frustrated at the work done by other people or at the fact that there was a lack of some specific thing and no one bothered to work on it or fix it.
Right now I'm somewhere at the intersection of AI research and systems thinking, trying to answer a question I find genuinely interesting: what does it actually take for an AI to understand context the way a person does?
AI-Player -- A Minecraft mod that's less of a "bot" and more of an experiment in agentic AI. It has a dual-brain architecture: a reactive reflex system for fast decisions, and an LLM-backed reasoning layer for higher-order planning. Custom NLP pipeline (DistilBERT + CART + LIDSNet), risk-augmented Q-learning, RAG systems, multi-LLM provider support. Minecraft is a surprisingly good testbed for AI research -- open-ended, dynamic, and forgiving enough to iterate fast.
Lexis -- A classical text compression system with zero training data, reaching ~2.75 bits per byte on real-world web documents. Outperforms gzip and zstd. Built on eight linguistically-structured stages including mixed-radix phonetic decomposition and factoriadic delta encoding. Paper in progress for arXiv. Currently published on zenodo: https://doi.org/10.5281/zenodo.20775691
Orion (A new x86-64 kernel) -- A new x86-64 kernel, being written in Assembly for the limine bootloader. I am building this kernel because later I plan to build my own OS, since I am tired of both Windows and Linux. I want to be able to own my computer, have it run properly, and also be able to play both old and modern games. Hence this will be a kernel that does all that I mentioned.
Axion-Lang (A new programming language and it's compiler) -- Axiom is an educational compiled programming language written from scratch in C. This repository, is the compiler for the programming language. The project is built from first principles to explore compiler construction, lexical analysis, parsing, memory management, and language design. The goal (at the moment) is not to compete with existing languages, but to understand how programming languages are built by implementing every major component manually.
Adaptive Memory Integrity & Telemetry Framework (AMITF) -- AMITF is a research framework aimed at defeating cheating in Counter-Strike 2 (and similar multiplayer games) through memory fragmentation, encryption epoch rotation, and behavioral telemetry -- without relying solely on static signatures or kernel-level enforcement. I decided to start working on this because I was done facing cheaters in Counter-Strike 2 and also waiting for Valve's "wait-and-see" approach, too slow for me.
CSE Engineering Notes -- A free, handcrafted note repository for CS students. Made it because the good stuff was always scattered across a dozen sources. Now it's on Obsidian Community Vaults.
Small libraries I published 4 years ago that apparently kept finding users.
- requests_rs -- Python
requests-style HTTP ergonomics for Rust · 11k+ downloads - minecraft_launcher_core · 4.5k downloads
- minecraft_downloader_core · 10k+ downloads
Research assistant (remote) with the University of Manchester -- working on AI systems and agentic architectures. I've spent time on NLP pipelines, retrieval systems, reinforcement learning, and compression theory. Most of my instincts around systems design come from years of building on hardware that couldn't afford inefficiency.
My first research paper (completely solo): https://zenodo.org/records/20776558
Java · Python · Rust · C · Assembly (x86-64) · HTML / CSS
ML/AI: NLP · RL · Deep Learning · RAG · Model training · Knowledge systems
Other: Game modding · API integrations · Distributed design · Linux (Nobara)
I'm interested in research roles, collaborations, and conversations about AI that go deeper than the surface level.
