Who I Am
About Me
I'm a Computer Science student at NUST who works at every layer of the stack — from Rust internals and HPC task offloading to TypeScript frontends and production-grade AI pipelines. I'm drawn to performance-critical systems and practical AI applications that ship to real users.
Outside of coursework, I enjoy competitive programming (HackerRank, Google Foobar, NASCON) and contributing to open-source projects that push the boundary between Python's ergonomics and native execution speed.
Download CV6+
Projects
3+
Years Coding
10+
GitHub Repos
5+
Competitions
What I Do
Specialties
AI & Machine Learning
Building practical AI pipelines — from real-time emotion recognition to agricultural decision systems — using PyTorch, TensorFlow, and scikit-learn.
Systems Programming
Writing performance-first code in Rust and C/C++. Author of rustnum — a NumPy-compatible library that replaces Python's compute layer with Rust's zero-cost abstractions.
Full Stack Development
End-to-end web applications with Next.js, TypeScript, Node.js, and PostgreSQL. Shipped Mind Forge — a full-featured prep platform with user and admin dashboards.
Selected Work
Projects
rustnum
NumPy-compatible Python library backed by Rust. Same familiar API, measurably faster execution through zero-cost abstractions.
EmoCap
Deep learning pipeline for real-time emotion capture and classification from visual input.
OFFLOAD-HPC
Java framework for offloading compute-intensive workloads to high-performance computing infrastructure.
Mind Forge
Full-stack entry test prep platform with user and admin dashboards, built to help students prepare for entrance exams.
AgriIntel
ML-driven agricultural intelligence system applying machine learning models to assist data-driven farming decisions.
LocalQwenModel
Local deployment of the Qwen LLM — runs large language models fully on-device with no cloud dependency.
My Journey
Experience
B.S. Computer Science
NUST — National University of Sciences & Technology
Studying CS with a focus on AI/ML and systems-level programming. Active in competitive programming circuits and open-source development.
Google Foobar Challenge
Invited to and completed Google's hidden coding challenge — a series of increasingly difficult algorithmic problems.
rustnum
Open Source
Released rustnum — a NumPy-compatible Python library powered by Rust FFI for high-performance numerical computation.
NASCON Competitive Programming
NUST
Competed in the annual national computing olympiad, solving algorithmic challenges across data structures and optimization.
Get In Touch
Contact Me
Let's build something together.
Open to full-time roles, collaborations, or a good conversation about AI, systems programming, or whatever you're building.