AI / ML
Engineer
AI/ML Engineer and Senior Software Engineer with 11+ years of engineering experience, building and delivering production-grade systems across NLP, LLMs, computer vision, model serving, and cloud-based workflows.
My work sits at the intersection of applied research and production engineering from LLM fine-tuning and RAG system design to model monitoring and MLOps infrastructure. I hold an M.Sc. in Artificial Intelligence (Bahçeşehir University) and am AWS Certified as a Machine Learning Engineer Associate.
Beyond technical delivery, I write about AI systems, publish open-source research, and selectively advise organisations on AI strategy and implementation.
Education
M.Sc. Artificial Intelligence
Bahçeşehir University · 2021–2023
B.Sc. Computer Engineering
Toros University · 2010–2015
Core Skills
Generative AI & LLMs
LLM Fine-tuning (PEFT/LoRA, SFT), RAG, Prompt Engineering, BERT, Hugging Face Transformers, TRL, BitsAndBytes
Computer Vision
Custom CNNs, Siamese Networks, YOLO-based detection, U-Net segmentation (EfficientNet), ResNet, GANs & Diffusion Models, OCR
MLOps & Model Serving
FastAPI (REST/gRPC), Docker, Gradio, GitHub Actions, Azure DevOps, CI/CD Pipelines, Model Versioning & Evaluation, Prometheus, Grafana, Hugging Face Spaces
Cloud & Data Engineering
AWS (SageMaker Pipelines, Bedrock, Kendra, S3, Kinesis, Glue, Lambda, Data Wrangler), Apache Spark (PySpark)
Vector Databases & Storage
ChromaDB, Qdrant, SQLite, Amazon DynamoDB, MySQL, MongoDB, Fernet encryption, Feature Store management
Frameworks & Languages
PyTorch, TensorFlow, OpenCV, scikit-learn, Pandas, NumPy — Python, JavaScript/TypeScript, ReactJS, C#, PHP
Experience
Jun 2020 – Aug 2025
AI / ML Engineer | Senior Software Engineer
Halkbank
- Designed and evaluated signature-verification and forgery-detection models on real banking signature datasets using Siamese networks, custom CNNs, ensemble methods, and transfer-learning backbones.
- Built end-to-end ML workflows: dataset construction, preprocessing, augmentation, model training, validation, threshold selection, and error analysis for risk-sensitive use cases.
- Developed GAN- and diffusion-based synthetic data augmentation to improve model robustness under limited and imbalanced data conditions.
- Built and operated ML inference services with FastAPI, Docker, and Azure DevOps CI/CD pipelines; integrated models into internal tools and downstream systems.
Mar 2019 – Jan 2020
Software Engineer
Turkcell
- Architected modular cloud components and engineered seamless data integration layers between front-end interfaces and Java-based microservices.
- Optimized UI workflows across diverse multi-framework environments.
Aug 2017 – Mar 2019
Software Engineer
Orzed
- Built web applications and backend integrations using PHP and Python.
- Contributed to development and integration workflows for web- and mobile-based blockchain applications.
Aug 2015 – Aug 2017
Software Engineer
Blackhan
- Developed scalable web solutions prioritized for cross-platform compatibility and optimal system performance.
Selected Projects
All Projects →Security-First RAG Service for Swedish Tax Law
Apr 2026Designed and built a security-oriented RAG service using FastAPI, ChromaDB, SQLite, and Fernet — separating embeddings from encrypted source text through a split-storage architecture. Deployed with Gradio, Docker, GitHub Actions, Prometheus, Grafana, and Hugging Face Spaces.
Customer Support LLM — Baseline SFT with LoRA
Oct 2025Fine-tuned causal language models for enterprise English customer support using PEFT/LoRA and SFTTrainer with BitsAndBytes 4-bit/8-bit quantization. Developed high-performance batch inference utilities.
Human Segmentation — U-Net
Oct 2025Built a pixel-level human segmentation workflow using U-Net with an EfficientNet-B3 encoder for background removal and automated image-editing use cases.
Reinforcement Learning for Trading
Jan 2023Created trading agents trained with PPO and Actor-Critic methods in OpenAI Gym environments.
Certifications
AWS Certified Machine Learning Engineer — Associate (MLA-C01)
Mar 2026Google Cloud | Prompt Design in Vertex AI Skill Badge
Apr 2026Google Cloud Skills Badges — Responsible AI & LLM & Gen AI
Mar 2026AWS DynamoDB — AWS Training & Certification (Skillbuilder)
Apr 2026Model Monitoring Amazon CloudWatch — AWS Training
Jan 2026I am available for advisory engagements on AI architecture, LLM integration strategy, and production ML system design.