IEEE ASYU 2025
Instance segmentation with Double DQN
Refining Mask R CNN predictions on COCO 2017 with Double DQN, within the same training budget.
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I build practical machine learning systems and research how they can see, learn, and improve.
IEEE ASYU 2025
Refining Mask R CNN predictions on COCO 2017 with Double DQN, within the same training budget.
Read paper
IEEE UBMK 2024
Recognizing budgerigar gender through cere detection and deep learning model comparison.
American Sign Language detection built with YOLO and deployed across Hugging Face and Android surfaces.
AI car search for the Turkish used car market using Qwen3, browser inference, and arabam.com crawling.
Credit risk estimation with non financial features and a privacy preserving synthetic Istanbul dataset.
Data insight notebook for Istanbul Metropolitan Municipality scholarship aid data.
Reinforcement learning baseline project for Doom with VizDoom and Stable Baselines 3.
Interactive Tableau dashboard for comparing national currency values against the US dollar.
Automation pipeline for solving captchas on the MERSIS portal using Selenium and Microsoft TrOCR.
Math captcha dataset and generation tooling designed for OCR experiments and captcha model training.
Game metadata dataset prepared for analytics, recommendation, and ranking experiments.
Image classification experiment comparing deep neural networks and convolutional models on CIFAR 10.
Conference paper applying reinforcement learning to instance segmentation with a Double DQN approach.
DOI 10.1109/ASYU67174.2025.11208352
Conference paper on object detection and deep learning for budgerigar gender recognition. Published in UBMK 2024 Proceedings.
DOI 10.1109/UBMK63289.2024.10773570