Data Scientist · AI Engineer · Building Scalable Intelligent Systems
Data Scientist with a strong foundation in machine learning, data systems, and production-grade architectures.
I specialize in designing systems where models, data, and infrastructure work together — from research prototypes to deployed AI products.
Current focus:
- Knowledge Graphs & Graph Neural Networks
- Retrieval-Augmented Generation (RAG) systems
- LLM-powered applications and agentic workflows
- Scalable data pipelines and AI infrastructure
Data Scientist / AI Engineer — Argoman (Remote)
2024 – Present
- Built Aether, an expertise discovery system combining knowledge graphs and LLMs
- Designed and deployed RAG pipelines with structured + unstructured data
- Developed scalable backend services using FastAPI, PyTorch, LangChain
- Implemented data orchestration pipelines (Airflow, Docker)
Full-Stack Engineer / Co-Founder / CTO — UNIJOB
2023 – 2025
- Architected and launched a production-scale job platform
- Built cross-platform applications (Flutter) and backend systems (Python, Firebase)
- Designed real-time systems, authentication flows, and scalable infrastructure
- Researched and integrated AI-driven recommendation features
Software Engineer — Arçelik Global (Remote)
2022 – 2023
- Developed Generative AI-powered enterprise tools
- Built full-stack systems (Flutter, FastAPI) deployed on cloud infrastructure
Breast Cancer Prognosis with Graph Neural Networks
- Designed predictive models using gene expression data + GNNs
- Applied transfer learning and semi-supervised learning
- Focused on personalized risk prediction in healthcare AI
Aether — Knowledge Graph + LLM System
- Built an expertise discovery engine using Neo4j + RAG pipelines
- Integrated structured knowledge with LLM reasoning
Multi-Agent Healthcare Simulation
- Modeled hospital workflows using agent-based systems
- Designed decentralized, event-driven coordination
AI / ML
- Deep Learning, Representation Learning
- Graph Neural Networks
- Retrieval-Augmented Generation (RAG)
- LLMOps & Agentic Systems
Data & Infrastructure
- ETL / ELT Pipelines
- Knowledge Graphs (Neo4j)
- SQL / NoSQL Systems
- Workflow Orchestration (Airflow)
Engineering
- Python, FastAPI
- PyTorch
- Docker
- System Design & Scalable Architectures
- Flutter / Dart
M.Sc. Computer Engineering — Ege University
Focus: Graph Neural Networks in Healthcare AI
B.Sc. Computer Engineering — Ege University
- Interested in AI for healthcare, knowledge systems, and real-world ML deployment
- Open to collaborations and impactful engineering challenges