"Every line of code tells a story."
As an Electronics Engineering graduate with experience in photonic research, my career began at the intersection of hardware and software, prototyping IoT devices and machine vision systems. A sudden career shift during the pandemic ignited my passion for deep learning in computer vision, successfully pivoting me into the tech industry.
My journey has taken me from building embedded systems to developing backend data solutions for AI hardware. I'm passionate about writing clean, efficient code and am currently expanding my expertise by learning modern C++ (11/14/17). I am eager to collaborate on innovative and challenging projects, leveraging my full-stack embedded expertise to contribute from concept to deployment.
When I'm not coding, you can find me fueling my growth with self-help and professional development books.
Interfacing three different sensors with Raspberry Pi through different protocols, presenting the sensor data and integrating an AI model on a dashboard.
A real-time IoT data storage platform that captures MQTT messages and stores them in SQLite database for historical analysis and data persistence.
Simulate a smartwatch with FreeRTOS tasks using ESP-IDF's QEMU emulator (no hardware needed). Demonstrates real-time OS concepts.
Dive into my five-part LinkedIn series exploring how knowledge functions as our ultimate time machine, connecting past, present and future into one coherent system.