Portfolio

Hello! My name is Hilmi, I’m an electrical engineer with focus on signal processing, computer vision & graphics, and machine learning. I also do game development and manage my youtube channel.

I’m open for opportunities.

Table of Contents

• Machine Learning & Computer Vision Projects
• Game & Application Projects
• Awards & Achievements
• Certification
• Publication & Thesis
• Education

Machine Learning & Computer Vision Projects

• YOLO Implementation from Scratch, 2025, implemented YOLOv8n from scratch using Pytorch.
• Card Suits Recognition, 2025, card suit shapes recognition using classical computer vision techniques.
• Fiber Detection and Length Measurement, 2025, fiber length measurement using classical computer vision techniques.
• Various GAN Implementations, 2025, implemented InfoGAN, StyleGAN, TraVeLGAN, and StarGAN.
• Autoencoder Based Image Clustering, 2025, implemented an unsupervised clustering with adversarial autoencoder for cat images using PyTorch.
• Inverse Radon Transform for Sinogram Backprojection, 2024, implemented a ramp filtered inverse radon transform to transform sinograms back to images.
• Pitch Predictor for Singing Synthesizer, 2023, prototyped a pitch predictor from notes input for singing synthesizer using WGAN-GP.
• Camera Projection Transformation Rectilinear to Panini Projection, 2023, made a projection transformation shader in HLSL to combine two cameras view in realtime.
• Optical Character Recognition for Seven Segment Displays, 2023, developed a digit recognizer and classifier using OpenCV and CNN PyTorch for android device.
• Unity Simulation of 2D Localization and Mapping, 2021, made a real-time SLAM simulation in Unity with particle filter and graph SLAM.
• CNC Pen Plotter Machine with Arduino, 2021, developed a pen plotter program in Arduino and its interface on computer with serial communication.
• Satellite Images Classification, 2020, programmed a satellite images classifier using CNN in PyTorch for a YouTube tutorial.
• Smiley Drawings Object Detection, 2019, labeled images for the dataset of the neural network and trained a YOLO based object detection model.
• 3D Head Pose Estimation, 2019, single camera 3D head pose estimation using OpenCV and Dlib in Python and Blender.

Game & Application Projects

I developed these games and apps:

• Anomaly Watch, 2026, a spot the difference game.
• Gitakita, 2025, an Android singing synthesizer that is based on the WORLD vocoder.
• Space Tracer, 2025, a 3D space racing web game.
• Rusa’s Legacy, 2024, an escape room game.
• Amber and Ice, 2023, a pocoman-like web puzzle game.
• Colorfall, 2023, an Android physics-based puzzle game.
• Impedance Matcher, 2023, an Android impedance matching calculator.
• Statistika, 2021, an Android statistics calculator for calculating regression and its classic assumption tests.
• Teka-Teki Silang Caroll, 2021, and Android hybrid game between crossword and rolling-ball game.
• Astromaths, 2020, an Android hyrid game between asteroid-like game and math puzzle game.
• Resistor Circuit Simulator, 2020, an Android resistor circuit simulator.

I’m also a contributor in the open source project OpenUtau.

Awards & Achievements

• 2nd place at the Flame Jam 2025, 2025.
• 4th place at the Flame Game Jam 3.0, 2023.
• Favorite Presentation at the Indonesian 30th National Student Scientific Week (PIMNAS), Applied Technology, 2017.

Certification

• TOEFL iBT, Score: 107/120.

Publications & Thesis

• A Comparison between Six-Step and Sine-Wave Commutation Methods for Brushless Direct Current Motors
  H. Y. Al-Faruq, H. Septanto
  International Journal of Power Electronics and Drive Systems (IJPEDS), Vol. 13, No. 2, 2022.
  DOI: 10.11591/ijpeds.v13.i2.pp665-673
• Orange Classification with Statistical Feature Extraction and Neural Network
  Bachelor’s Thesis, Faculty of Engineering, Universitas Gadjah Mada, Indonesia, 2019.

Education

• Bachelor’s Degree in Electrical Engineering (2015-2019)
  Faculty of Engineering, Universitas Gadjah Mada, Indonesia.
  Thesis: Orange Classification with Statistical Feature Extraction and Neural Network