Available for Opportunities

Harun
Ar Rasyid

IoT Engineer & Computer Vision Developer

Building intelligent systems at the intersection of embedded hardware, machine learning, and the web — from ESP32 firmware to YOLO inference pipelines and the dashboards that make the data actionable.

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3+
Years Exp.
6
Projects
2
Patents / IP

About

Where hardware meets intelligence.

I'm Harun Ar Rasyid, an Informatics Engineering student at Telkom University Purwokerto with a focused interest in systems that bridge the physical and digital worlds. My work spans embedded electronics, computer vision, and full-stack web development.

My foundation was laid in vocational school studying Audio Video Electronics — giving me hands-on hardware literacy that most software engineers lack. Since then I've grown into designing complete IoT pipelines, from writing firmware on ESP32 to training YOLO detection models and deploying the web dashboards that make the data meaningful to real users.

I believe great engineering is quiet. The best systems are the ones users never have to think about. That philosophy drives every project — whether it's a serverless smart home, a fish-counting vision system, or real-time traffic monitoring infrastructure for city government.

Hardware-first mindset

Grounded in electronics from vocational training, I understand hardware constraints that pure software engineers overlook.

Vision & Intelligence

Experienced deploying YOLO models on edge devices for real-world detection and counting tasks at production scale.

Full-stack IoT

From ESP32 firmware to Laravel backends and Next.js dashboards — I ship the entire stack, not just one layer.

Based in Banyumas, Indonesia

Working with local government and private clients across Central Java. Open to remote collaboration globally.

Capabilities

Skills & Technologies

A snapshot of the tools, languages, and domains I work across daily.

Embedded Systems

ESP32Arduino Nano Raspberry Pi 5RFID RF 433MHzBarcode Scanner

Computer Vision

YOLOOpenCV Object DetectionObject Counting Python

IoT Protocols

MQTTHTTPClient WebSocketI2C / SPIUART

Backend Development

LaravelPHP REST APIMySQLMoodle LMS

Frontend Development

Next.jsReact TypeScriptTailwind CSS Data Visualization

Machine Learning

Model TrainingEdge Inference FFT AnalysisData Logging

Power & Sensing

Solar PVHybrid Powerplant DHT SensorsLoad CellAudio FFT

Tools & Platforms

Git / GitHubLinux Arduino IDEPlatformIOFigma

Work History

Experience

Roles where I've designed and delivered systems running in production today.

Aug 2024 — Mar 2026 Telkom University Purwokerto

IoT Programmer

  • Designed and built a real-time fish-counting system on Raspberry Pi 5 using a YOLO object detection model and a Python desktop GUI for live visualization and data logging.
  • Developed an ESP32-based audio FFT monitoring device paired with a Laravel web interface capable of collecting numerical FFT data and WAV audio files via MQTT and HTTPClient.
  • Built a weight-monitoring and data-logging IoT device for the Solvia Cocobase Innovilage project using ESP32 and a Next.js dashboard.
  • Designed a coffee dehumidification system (ESP32) with real-time temperature and humidity monitoring, remote control capability, and cloud data logging.
Raspberry Pi 5ESP32YOLO PythonLaravelNext.jsMQTT
Jun 2025 — Aug 2025 Dinkominfo Kabupaten Banyumas

Software Engineering Intern

  • Deployed and customized a Moodle LMS for Banyumas civil servants (ASN), enabling online training, capacity building, and continuous professional development for government staff.
  • Built an intelligent CCTV vehicle-counting system using OpenCV and YOLO for real-time traffic monitoring, congestion analysis, and urban planning decisions.
  • Developed a real-time person-counter system for the government auditorium using OpenCV and YOLO on live CCTV streams.
OpenCVYOLOPython MoodlePHP
Aug 2022 — Present TW Smarthome, Purwokerto

IoT Programmer

  • Engineered a serverless smart home automation system using MQTT with no dependency on third-party cloud services, giving clients full local control.
  • Implemented cost-effective two-way device communication using RF 433MHz radio modules.
  • Built a real-time monitoring dashboard for a hybrid solar powerplant using HTTPClient for live energy telemetry.
ESP32MQTT RF 433MHzHTTPClientSolar PV

Featured Work

Projects

Selected systems I've designed, built, and shipped — from edge AI to solar-powered IoT infrastructure.

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Academic Background

Education

Jun 2022 — Apr 2026

Telkom University Purwokerto

Bachelor of Informatics Engineering

Focused on IoT systems, computer vision, embedded systems, and full-stack web development. Active in research projects and participated in PKM-KC national innovation program (2024).

Jun 2019 — Jun 2022

SMKN 2 Purwokerto

Senior High School — Audio Video Electronics

Technical vocational training in electronics, audio-video systems, and electrical engineering. Built the hands-on hardware foundation that drives current work in embedded systems and IoT.

Recognition

Achievements

PKM-KC National Program
Selected for the national student creativity program by Kemendikti. Designed and implemented COBOX — a solar-powered automated COD package receiving system.
2024
Intellectual Property Registration — COBOX
Obtained official Hak Kekayaan Intelektual (HKI) registration for the COBOX automated package-receiving system through Kemenkumham RI.
2024
Machine Learning for Beginners
Completed Dicoding's machine learning fundamentals certification — an early milestone in the applied AI and data science journey.
2021
Data Visualization Certification
Certified in data storytelling and visualization techniques — applied directly to IoT dashboard design and analytics reporting in subsequent projects.
2021
Python Programming Certification
Completed Dicoding's basic Python programming course — forming the core programming capability for computer vision and scripting.
2021

Get in touch

Contact

Have a project in mind or want to discuss collaboration? Drop me a message.

Phone / WhatsApp
+62 812-3456-7890
Location
Banyumas, Indonesia

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