Hi! I’m Kevin J Jijo, an engineering student who enjoys building things that sit at the intersection of hardware, software, and real-world impact. I’ve worked with microcontrollers and platforms like Arduino, ESP32, STM32, Raspberry Pi, and PIC32. Most of my work revolves around embedded systems, signal processing, and applied electronics, with a growing interest in biomedical and wearable technologies.

Outside of academics, I enjoy reading and writing fantasy, creating abstract animations and edited videos, and staying active through boxing, power-lifting, and other combat sports. I’m drawn to projects that mix technical depth with creativity. A lot of this comes from heavy exposure to YouTue, makers, woodworkers, scientists, and engineers documenting their work, where combining humour and engineering is just the means of reaching your engineering goal. The way these people can fabricate some completely insane idea that could never be made at scale because of how ridiculously specific it is really sticks with me.

I want to be able to create like that, as freely as I can.

Previous work

Wearable Technology Using Deep Learning and IoT for Complex Gesture Recognition-Based Automation

This project focuses on developing a wearable gesture-recognition system using force-sensitive resistor (FSR) sensors to capture forearm muscle activity and infer hand gestures through force myography. Multiple FSR sensors are embedded into a wearable band and interfaced with a microcontroller to record force distribution data at consistent sampling rates, addressing challenges such as sensor noise, channel switching delays, and real-time data acquisition. The collected data is used to build a multi-user dataset for training gesture recognition models, with the aim of accurately identifying both simple and complex gestures