Alp Demirel

Alp Demirel

PhD Candidate · HÜSMART Technical Lead · Binary Brain Co-founder

Hacettepe University, Computer Engineering

Biography

I work on the boundary between principled ML and real-world robotics. At HÜSMART, I lead the technical architecture for Türkiye’s first university-built autonomous shuttle. At Binary Brain, I co-build AI products with shipped users. I write about robotics, applied ML, and edge deployment — and sometimes about how electric fish solved sensor fusion 400 million years before us.

Interests
  • Self-Supervised Representation Learning
  • Visual-Inertial Odometry
  • Autonomous Vehicle Perception
  • AI Products
Education
  • PhD in Computer Engineering, (ongoing)

    Hacettepe University

  • MSc in Electrical & Electronics Engineering, 2023

    Hacettepe University

  • BSc in Electrical & Electronics Engineering, 2020

    Hacettepe University

Experience

 
 
 
 
 
Technical Lead
HÜSMART Autonomous Shuttle
Jan 2024 – Present Ankara, Türkiye

Türkiye’s first university-built autonomous shuttle — VW ID. Buzz platform.

  • ROS 2 Humble · Autoware · NDT scan matching · Lanelet2 HD maps
  • Sensor suite: 4× cameras, 4× LiDAR (Hesai OT128/JT128), GNSS/INS (Robins)
  • Research: dynamic visual-inertial odometry; targeting RA-L and IROS 2026
 
 
 
 
 
Co-founder
Binary Brain
Jan 2024 – Present Ankara, Türkiye

AI products company building real-time AI character experiences for mobile.

  • Practice with Me — Unity AI conversation companion (STT/LLM/TTS/lipsync pipeline)
  • Dream Meow — generative AI mobile product
 
 
 
 
 
Hacettepe University
PhD Candidate
Sep 2023 – Present Ankara, Türkiye

Computer Engineering · Biological Data Science Lab

  • Supervisor: Prof. Tunca Doğan
  • Applied self-supervised representation learning
 
 
 
 
 
Hacettepe University
Research Assistant
Oct 2020 – Sep 2023 Ankara, Türkiye
MSc thesis: multisensory integration in weakly electric fish — sensor fusion, system identification, and computer vision on Jetson Xavier NX. Six international neuroscience conferences.

Skills

Python / ML

PyTorch, JAX, OpenCV, scikit-learn

Robotics

ROS 2, Autoware, sensor fusion, VIO

Applied ML Research

Self-supervised learning, representation learning

Mobile / Unity

Unity, Flutter, STT/TTS/lipsync pipelines

Sensor Integration

LiDAR, cameras, IMU, GNSS/INS

Edge Deployment

Jetson Xavier NX, edge inference, embedded systems

TensorFlow

TensorFlow Developer Certified

C++

C++ / ROS development

Cloud / Infra

Google Cloud, distributed inference

Accomplish­ments

TensorFlow Developer Certificate
Image Classification, NLP, Time Series
See certificate
Coursera
DeepLearning.AI TensorFlow Developer Specialization
See certificate
Coursera
Deep Learning Specialization
See certificate

Contact