Hi, I'm Adnan ANKARALI

Software Developer & Student

I'm a developer focused on building innovative solutions with modern technologies, actively working across software and artificial intelligence. I have a strong technical foundation on both the frontend and backend, and I build projects at the intersection of AI, machine learning, and deep learning. From robotic systems to web applications, and from mobile development to data science, I bring together interdisciplinary experience across a wide range of fields.

View My Projects Get In Touch

About Me

Get to know me and my goals

My Passion for Technology & AI

Throughout my software development journey, I focus on continuously growing across different areas. I actively work with modern web technologies, mobile app development, robotic systems, and artificial intelligence, expanding my knowledge and experience every day.

I put user experience at the center of my projects while striving to build scalable and reliable solutions. I combine my frontend and backend experience with artificial intelligence and machine learning to develop interdisciplinary projects.

I place great importance on community work, knowledge sharing, and creating projects that generate value with next-generation technologies. My goal is to shape not just today, but the future, through the solutions I build.

20+

Awards & Honors

4

Years of Experience

3×

Houston Champion

Tech Stack

Technologies and tools I actively use

🧠

AI & Computer Vision

Python PyTorch YOLOv8 / v11 OpenCV ResNet50 DeepLabV3 Hugging Face TensorFlow Scikit-learn ONNX

🤖

Robotics & Embedded Systems

ROS2 C++ Java Docker LiDAR / IMU / GNSS SLAM Sensor Fusion UART / I2C Arduino

🌐

Web & Mobile Development

JavaScript React HTML5 CSS3 Node.js Flutter WordPress PHP

🗄️

Data & Tools

PostgreSQL MongoDB SQL Git Linux Figma Pandas / NumPy

My Projects

Featured projects I've built

Cardiomegaly Detection & CTR Calculator

Computes Cardiothoracic Ratio (CTR) and a cardiomegaly score from chest X-rays. Uses XRV DenseNet121 for the CM score and Ultralytics YOLOv11 for lung/heart width-based ratio calculation, with CLAHE, NMS, and GPU acceleration.

🏆 Teknofest AI in Healthcare – 4th in Turkey

PythonPyTorchTorchXRayVisionYOLOv11OpenCV

Colonoscopy Polyp Segmentation

Detects polyps at pixel level in colonoscopy images. Uses YOLOv8-seg for inference and a DeepLabV3 teacher → student (knowledge distillation) setup for training.

🏆 Teknofest AI in Healthcare – 4th in Turkey

PythonPyTorchYOLOv8-segDeepLabV3KD (Student–Teacher)

Robotaxi: Autonomous Vehicle From Scratch

Made an electric vehicle autonomous on ROS2 Foxy and Docker. Built sensor fusion with LiDAR, IMU, GNSS; an end-to-end stack with Perception, SLAM, Localization, Planning, and Control modules.

🥉 Teknofest Robotaxi – 3rd in Turkey (Honorable Mention)

ROS2 FoxyDockerLiDARSLAMSensor Fusion

🦴

Automated Scoliosis Cobb Angle Detection

A deep learning model that detects spinal landmarks in X-ray images and automatically computes the geometric Cobb angle, built using the AASCE MICCAI 2019 dataset and ResNet50 architecture.

🔬 Independent Research Project (2026)

PythonPyTorchResNet50Landmark DetectionMedical Imaging

See All My Achievements