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Mechatronics Engineer

Akta Muhamad
Ilyas.

Computer vision & industrial automation engineer. I build systems that see, decide, and act — from YOLO defect detection to ESP32-controlled conveyors.

Jember, Indonesia GPA 3.91 / 4.00 Open to Work
Akta Muhamad Ilyas

I engineer systems where
hardware meets intelligence.

D4 Mechatronics Engineering graduate from Politeknik Negeri Jember with a 3.91 GPA. My work sits at the intersection of computer vision, embedded systems, and industrial automation.

My thesis built an automated quality control system using YOLO11 deep learning on an omnidirectional conveyor — achieving 88.47% mAP50-95 accuracy and 95% system success rate across 80 trials. Three ESP32 microcontrollers coordinated via Modbus RTU over RS485, with a laptop running real-time inference as the master node.

I've interned at PT Global Andalan Solusi Sukses building mining safety systems, and I'm a fast learner who works best when given real problems and proper guidance. Currently based in Jember, East Java.

88.47% mAP50-95 Detection
95% System Success Rate
3.91 GPA / 4.00
Computer Vision

YOLO11 Quality Inspection

Defect detection & QR scanner. 6 classes, Gradio demo on HuggingFace Spaces. YOLOv11m model (40.5MB).

YOLO11GradioHuggingFace
Automation

Autonomous AI Agent

Fully autonomous agent across browser, social media, GitHub, and blockchain. 24/7 with persistent memory and 47+ reusable skills.

LLMPlaywrightPythonMulti-chain
Mining Safety

Parking Assist — 4 Ultrasonic Sensors

Blind spot detection for dump trucks. Pin Change Interrupt, tiered buzzer warning, LCD display. R&D internship at PT Global Andalan.

ATmega328PBJSN-SR04TArduino C++
IoT — AITEC 5 Winner

Auto Nutrition Mixing for Hydroponics

Automated nutrient mixing with TDS monitoring, flow rate control, Blynk IoT dashboard, and RTC scheduling.

Arduino MegaESP8266Blynk IoT
IoT

Smart Home — Lamp & Fire Detection

ESP8266-based remote lamp control via Telegram bot, automatic fire detection with flame sensor, and buzzer alarm.

ESP8266Telegram BotFlame Sensor

Computer Vision

YOLO object detection, OpenCV image processing, Roboflow dataset labeling, model training on Google Colab, Gradio deployment.

Embedded Systems

ESP32, ESP8266, Arduino, ATmega. Dual-core FreeRTOS, Pin Change Interrupt, timer-based scheduling.

Programming

Python, Arduino C/C++, Modbus RTU, RS485 communication, OpenCV, Ultralytics YOLO.

Industrial Automation

PLC basics (Omron, Schneider), sensor integration, motor driver calibration, relay control circuits.

IoT & Cloud

MQTT, HTTP, Firebase RTDB, Blynk IoT, Telegram Bot API, real-time dashboards.

CAD & Mechanical

Autodesk Inventor (2D/3D), 3D printing, lathe & milling operations, carbon steel welding.

Interests
Computer Vision Machine Vision Industrial Automation Robotics Deep Learning IoT Systems

Experience

Aug — Nov 2025

R&D Intern

PT. Global Andalan Solusi Sukses

Mining automation — Parking Assist (4x ultrasonic, tiered buzzer), Turbo Timer, Travel Time Limiter, ADAS/DMS reverse engineering, TPMS, GRAMS KAI genset monitoring.

Jan — Dec 2021

Technician Intern

PT Seger Pangan Sejahtera

Production machine maintenance, repair, and component fabrication on the factory floor.

Aug 2022 — Present

Part-time Machinist

Restu Agung Workshop

Milling and lathe operations for automotive component resurfacing.

Education

2022 — 2026

D4 Mechatronics Engineering

Politeknik Negeri Jember (POLIJE)

GPA 3.91 / 4.00 — Focus: industrial automation, embedded systems, computer vision, IoT. Thesis: YOLO11 automated quality control on omnidirectional conveyor.

2019 — 2022

SMK Teknik Pemesinan

SMKN 2 Jember

Lathe (Bubut), AutoCAD, measurement & machining fundamentals.

Let's build
something together.

Open to Machine Vision, Computer Vision, and Industrial Automation roles. Based in Jember, East Java — remote or on-site.

Download CV