I'm a Physics undergraduate at the University of Rajshahi, Bangladesh, working at the intersection of physics, mathematics, and computing.
Rather than learning technologies only through tutorials, I prefer building things from the ground up - from numerical solvers and multi-node computing clusters to production web applications and self-hosted infrastructure.
Currently exploring:
Scientific computing & numerical methods
High-performance and parallel computing
Systems programming
Full-stack application architecture
Self-hosted infrastructure & DevOps
Machine learning
Mathematical modeling and computational physics
For more go to this section.
My physics background naturally pulled me toward computational methods.
Scientific Computing
Numerical methods for mathematical and physical problems - with a particular interest in ODE systems, numerical integration, optimization, and computational modeling.
High-Performance Computing
Experimenting with building and managing a small multi-node HPC environment, with a long-term goal of scaling computational physics problems across multiple CPU cores and machines.
A small programming language ecosystem built from scratch in C++, with its own interpreter, formatter, tooling, and editor integration.
Focus: language design · parsing · interpreters · developer tooling
🌐 Documentation · 🖥️ Source
A Bangla phonetic input engine and cross-platform keyboard ecosystem, with a language-independent core and platform-specific integrations.
Focus: text processing · transliteration · language technology · systems integration
🖥️ Source
A self-hosted management platform for diagnostic-center operations, combining application development with database, deployment, and infrastructure work.
Focus: full-stack systems · databases · deployment · self-hosting
An anonymous real-time chat application exploring lightweight social interaction, ephemeral sessions, and real-time state.
Focus: real-time systems · WebSockets · state management
A small multi-node computing environment for experimenting with parallel workloads, distributed execution, and scientific computing infrastructure.
Focus: HPC · parallel computing · scientific workloads · infrastructure
For more projects, visit my repositories.
Languages
Web & Application Development
Databases & Backend
Scientific Computing & Mathematics
Systems & CLI
Infrastructure & DevOps
Version Control & Development Tools
Scientific Computing
├── Numerical ODE Solvers
├── Parallel Computing
├── MPI / Distributed Systems
└── Computational Physics
Systems Programming
├── Rust
├── Linux
└── Performance Engineering
Production Software
├── Next.js
├── PostgreSQL
├── Docker
└── Self-hosted Infrastructure
I'm especially drawn to the overlap of these areas - using low-level, high-performance computing ideas to solve real scientific and engineering problems.
Learn the theory. Build the system. Measure the result.
I like understanding what's happening underneath the abstraction - whether that's a numerical algorithm, a database query, a network request, or a CPU instruction.


