Generative AI & Computer Vision
Neural Style Transfer Lab
SD 1.5 backbone with per-style LoRA fine-tuning. This work was developed for the Machine Learning Fundamentals course in collaboration with my teammate.
AI Portfolio System
I am a second-year Artificial Intelligence and Data Engineering student at Firat University. My strongest base is in machine learning and deep learning, and I am currently building around NLP, computer vision, lightweight AI agents, and small open-source contributions.
Location
Fırat University, Turkey
Contact
Open to internship and collaboration opportunities in AI engineering, applied ML, and practical product work.
Tech Stack
Python, Scikit-learn, PyTorch, TensorFlow, FastAPI, NLP, Computer Vision
Currently Learning
Agentic AI workflows, RAG systems, and practical MLOps
Focus Areas
ML notebooks · lightweight AI agents · open-source contribution
Profile Depth
My foundation is in machine learning and deep learning. Most of my current work sits around NLP, computer vision, lightweight AI agents, and turning experiments into small working systems.
ML/DL Foundation
My core strength is machine learning and deep learning fundamentals, with strong focus on model behavior, experimentation, and practical evaluation.
Current Areas
I currently spend most of my time on NLP, computer vision, lightweight agentic AI, and practical backend integration.
Build Rhythm
I work through notebook experiments, small demos, and iterative improvements, and I contribute to open source when it aligns with what I am building.
Work
Generative AI & Computer Vision
SD 1.5 backbone with per-style LoRA fine-tuning. This work was developed for the Machine Learning Fundamentals course in collaboration with my teammate.
Agentic AI & NLP
An LLM-native, server-validated animal deduction engine that uses full conversation history and a live Constraint Ledger.
Natural Language Processing & RAG Systems
An in-progress system for Turkish customer messages with two-stage category/intent classification and routed RAG-based answer generation.