About Me
I am a Senior AI/ML Engineer and Software Architect with over 15 years of experience building production-grade systems. My passion lies in bridging the gap between state-of-the-art research and reliable, scalable industrial applications.
With a Master's in Artificial Intelligence (3.43 GPA) and a background in rigorous software engineering, I specialize in the full Machine Learning lifecycle: from data engineering and pipeline orchestration to model training (LLMs, CV) and high-performance serving.
Technical Arsenal
AI & Machine Learning
- • LLMs: PyTorch, Hugging Face, PEFT/LoRA, TRL
- • NLP: BERT/BERTurk fine-tuning, Text Classification
- • Computer Vision: YOLOv8, U-Net, OCR (Tesseract)
- • GenAI: Synthetic Data (GANs/Diffusion)
MLOps & Production
- • Serving: FastAPI, TorchServe, Triton
- • Infrastructure: Docker, Kubernetes, Azure DevOps
- • Pipelines: Airflow, MLflow, DVC
- • Monitoring: Prometheus, Grafana, Evidently AI
Data Engineering
- • PostgreSQL, Redis, Supabase
- • Data Processing: Pandas, Polars, Spark
- • Vector DBs: Qdrant, ChromaDB, pgvector
Software Engineering
- • Python, TypeScript, Go
- • Next.js, React, Tailwind CSS
- • Clean Architecture, DDD, TDD
Education
M.Sc. Artificial Intelligence
GPA: 3.43 / 4.00
Focus on Deep Learning, Natural Language Processing, and Computer Vision. Thesis work involved advanced neural network architectures for real-world constraints.