Hey there 👋

I’m Ragib Hasan — a systems engineer and AI builder from Bangladesh. I’ve been writing code since 2021, mostly working close to the metal with Rust, C, and Python.

What I Do

I’m co-founder at CholoKLabs, where we’re building AI-powered tools and infrastructure. My work focuses on systems design, model deployment, and performance engineering in a fast-moving early-stage environment.

Before that, I spent years on independent research and projects — systems programming, AI/ML research, and competitive programming. I’ve built inference engines, monitoring tools, MCQ exam platforms, and fine-tuned language models.

Technical Focus

Languages: Rust · C · C++ · Python · Go · Java · SQL · Assembly x86 · Bash

Systems & Infrastructure: Linux (Arch) · Ubuntu · VPS Administration · Docker · Shell Scripting · AVX2 SIMD

AI/ML: NumPy · Pandas · Matplotlib · Seaborn · ML Training · Hugging Face · LoRA/QLoRA · OpenCV

Other: Git · Laravel · WordPress · Competitive Programming

Projects

Some things I’ve built:

  • linfer — Rust-based local LLM inference engine with custom .lnf bundle format, AVX2 kernels, and 3x faster performance than comparable solutions
  • ExamCore — Laravel 11 MCQ exam platform with multi-role support, immutable answer locking, and bulk import/export
  • nexa — Diffusion-based computer vision pipeline for image generation and processing
  • SysWatch — Bash CLI system monitor using /proc filesystem with CPU/RAM alerts and log rotation
  • Face Recognition Attendance — Automated attendance system with real-time facial detection
  • LLaMA2 Fine-Tuning — Domain-specific fine-tuning using LoRA/QLoRA for parameter-efficient adaptation

More on GitHub →

Competitive Programming

I’ve solved 200+ problems across multiple platforms:

AI/ML Profiles

  • Hugging Face: @ragibhasan — 2 models published, 3 Spaces created
  • Kaggle: @ragibhasan2 — Active in ML competitions and datasets

Education

B.Sc. Computer Science & Engineering
Daffodil International University, Dhaka
2023 — 2027 (Currently Studying)

Focusing on systems programming, AI/ML, and algorithms. Building projects and contributing to open-source alongside coursework.

Get in Touch

Building tools that make AI more accessible, one instruction at a time.