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about me

• Spending less time writing code, more time understanding the Psychiatry of AI | my claude & codex settings & phd research skills
• Passionate about open-source, explainable vision-language models, ai agents for dataset curation
• PhD in Informatics (explainable vision language models & agentic knowledge distillation)
• BSc and MSc in Engineering (sequence models & computer vision)

some of my open-source works:

phd-skills — PhD Research Skills for Claude Code based on my 1500+ citation PhD journey

claude-codex-settings

sahi

safetext

balanced-loss

streamlit-image-comparison

labelme2coco

midv500

yolov5-pip

ultralyticsplus

video-transformers

craft-text-detector

autollm

some of my published/preprint papers:

Ultralytics YOLO26: Unified Real-Time End-to-End Vision Models (Preprint, 2026)

SenBen: Sensitive Scene Graphs for Explainable Content Moderation (CVPR, 2026)

Slicing Aided Hyper Inference and Fine-tuning for Small Object Detection (ICIP, 2022) (700+ citations)

AI-supported web application for reducing polypharmacy side effects (Frontiers in Medicine, 2023) (50+ citations)

Automated question generation and question answering from Turkish texts (SCI Journal, 2022) (30+ citations)

Evaluating generative AI tools in analyzing medical articles (JMIR, 2024) (20+ citations)

Drone-vs-Bird Detection Challenge at IEEE AVSS2021 (AVSS, 2021) (200+ citations)

Instagram Fake and Automated Account Detection (INISTA, 2019) (100+ citations)

Track Boosting and Synthetic Data Aided Drone Detection (AVSS, 2021) (40+ citations)

State-of-the-Art in Nudity Classification: A Comparative Analysis (ICASSP, 2023) (10+ citations)

Deep Architectures for Content Moderation and Movie Content Rating (Preprint) (10+ citations)

Enhancing clinical management skills through artificial intelligence simulated patients (WONCA, 2024)