Embedded systems · IoT · applied AI
I’m Fahril Maula Tanzil Huda, an Electronic Engineering student who connects hardware, firmware, and intelligent software into systems that work in the real world.
Currently exploring
Robotics, connected devices & edge intelligence
01 / About
My work spans PCB design, embedded firmware, RTOS-based communication, and machine learning. I deployed an on-device CNN voice-recognition model reaching 97–98% accuracy for a voice-controlled wheelchair project — taking an idea from electronics and firmware through applied AI.
02 / Experience
Feb 2025 — Nov 2025
JALA Akuakultur Lestari Alamku
Engineered RTOS-based serial communication for proprietary monitoring hardware and built a cross-platform Electron application for real-time device management and data visualization. Architected MQTT communication APIs for the product’s end-to-end monitoring pipeline.
May 2025 — Jul 2025
Yogyakarta State University
Designed embedded system architecture, developed C++ firmware for hardware control and real-time data processing, and ran functional and performance validation tests for scientific use.
Jan 2026 — Jun 2026
Global Solusi Edukasi
Designed robotics curriculum covering assembly through coding for elementary and junior high school students. Delivered hands-on lessons and evaluated practical performance.
Sep 2023 — Oct 2024
Google Developer Student Clubs, UNY
Managed the Mobile Development learning path curriculum and led technical workshops as primary presenter.
Jan 2024 — Nov 2024
Bimbel Raih Prestasi
Created learning materials tailored to individual competency levels and tracked progress through structured assessment.
03 / Projects
Embedded systems · Edge AI
A voice-controlled wheelchair project powered by an on-device CNN voice-recognition model. The model reached 97–98% accuracy, bringing intelligent control directly to the device without relying on a remote service.
Robotics · Control systems
A robotic arm prototype combining mechanical assembly, electronics, embedded control, and actuator integration. The project reflects a hands-on approach to building and validating complete robotic systems.
Computer vision · Robotics
A line-following robot project using OpenCV-based visual processing to detect and follow a track. It brings together camera-based perception, real-time decision making, and mobile robot control.
03 / Toolkit
Applied Bachelor · Electronic Engineering
Yogyakarta State University
Focus: Robotics, IoT, Control Systems
Computer and Network Engineering
SMK Tunas Harapan Pati
04 / Credentials
Programmer
BNSP
Teknik Elektronika Dasar
BNSP
Python for Data Analysis: Pandas & NumPy
Coursera
Internet of Things: Communication Technologies
UC San Diego
Exploring C
University of Michigan