22.46°N 91.97°E EXPLORING THE KNOWN & UNKNOWN
I like understanding how things work, from simple electronics to software. Still learning, still experimenting, one project at a time.
I'm Shajin Ahsan Shuvo, a Computer Science & Engineering student at CUET from Madarganj, Jamalpur, currently living in Chittagong. I've always enjoyed understanding how things work, and engineering gives me an opportunity to explore that interest through practical projects and continuous learning.
I work on projects across software and hardware, from full-stack web applications using MERN and related technologies to small electronics projects with Arduino and ESP32 boards. Some of my experiments include a remote-controlled wall socket, a line-following car, and an ongoing prototype of a gyro-stabilized drone. Each project gives me something new to learn.
Outside of development, I enjoy using Linux and exploring different distributions, including Debian, Ubuntu, Kali, and Arch. I'm also interested in cybersecurity, DevOps, astronomy, and archaeology. In my free time, I usually unwind with story-driven games.
Studying Computer Science and Engineering. Core engineering + systems design + building practical projects bridging hardware and software.
Built the foundation — establishing first principles — analytical thinking, structural discipline, and scientific fundamentals.
Learned MongoDB, Express, React, Node from Programming Hero. Built first live projects including weather app.
Advanced embedded systems, complex sensor interfacing, and hardware-level C++ programming. I built a line-following car and a remote-controlled wall socket.
CS fundamentals — DSA, OOP, databases. Strengthening core CSE alongside CUET coursework.
My first weather website built in 2022. Live weather data with clean UI. Deployed on Firebase - still running. Looking forward to upgrading it using latest technology in 2026.
Upcoming drone project using MPU6050 gyro sensor for stabilization. ESP32 + flight controller logic — work in progress, learning flight dynamics.
Parses hours of Tesla dashcam footage to surface interesting events — detects lane changes, near-misses, and extracts clips automatically. Built for researchers and curious owners.
Autonomous line-following car using IR sensors and Arduino. PID tuned, obstacle aware.
Remote controlled wall socket using relay module. Control home appliances from distance using ESP-01 WiFi module. Built for home automation curiosity.
Replaces manual roll calls. It reads a live camera feed, detects every face in the frame, turns each one into a 128-dimensional embedding, and matches it against a pre-encoded database. Every match lands on an admin dashboard with a timestamp.
Have a project, question, or delightfully impractical idea? The inbox is open.
