Skip to content
View mosmar99's full-sized avatar
🎯
Focusing
🎯
Focusing

Highlights

  • Pro

Block or report mosmar99

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
mosmar99/README.md

Hi, I’m Mahmut 👋

I’m currently in the final year of my Master’s degree in Artificial Intelligence, with a focus on autonomous systems, reinforcement learning, computer vision, and applied AI research. I conducted my undergraduate studies in Computer Engineering.

I enjoy working with:

  • Reinforcement learning and deep learning in applied settings
  • Computer vision and perception
  • Autonomous and robotic systems
  • Building and evaluating learning-based systems

🧩 I care about understanding system behavior, limitations, and trade-offs rather than just optimizing benchmarks.

Find me

Fun fact

I’m a drone 🛩️ and radio enthusiast 📻.

image

Pinned Loading

  1. Four-Rooms Four-Rooms Public

    This project studies how PPO with RND can solve sparse reward grid worlds under partial observability. Intrinsic motivation improves exploration and speeds up learning.

    Python

  2. HoopVision HoopVision Public

    A full CV basketball analytics system powered by YOLOv12, ByteTrack, SuperPoint/LightGlue, FastAPI, MongoDB, minIO, Prometheus and Grafana to turn raw basketball broadcast footage into rich spatial…

    Jupyter Notebook

  3. Osaka-Shopping-Mall Osaka-Shopping-Mall Public

    The project applies a Graph Attention Network to graph structured pedestrian data and analyzes how model settings influence trajectory prediction accuracy.

    Jupyter Notebook

  4. Microcontrollers Microcontrollers Public

    Hands-on embedded systems labs using the STM32F411RE Nucleo board. Focuses on low-level C/Assembler, peripherals, timers, interrupts, ADC, PWM, I2C, and practical applications like traffic lights, …

    C