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Computer Engineer · Data & AI Engineer
AI Engineer building applied ML/CV and multi-agent LLM systems on top of reliable data pipelines. I work across GCP/BigQuery and orchestration to ship production-oriented AI solutions.
About
About me
AI Engineer with hands-on experience building applied machine learning and computer vision solutions on top of reliable data pipelines. I work on multi-agent LLM workflows (CrewAI/LangChain) with tool use (function calling), grounding, and evaluation to improve reliability. Skilled in preparing structured datasets via ETL/ELT, developing ML/CV models (PyTorch/Keras, OpenCV), and supporting production integrations where data engineering and AI components operate together. Comfortable collaborating across product and engineering teams to deliver measurable outcomes through scalable, well-managed AI systems.
Currently learning
Applied ML / CV
Computer vision and classical ML models, experimentation, evaluation, and deployment-minded iteration.
LLM Systems
Multi-agent workflows, tool integrations, prompt/eval loops and production constraints like latency and safety.
Data Engineering
Pipelines, warehousing, orchestration, and analytics-ready datasets with reliability and cost-awareness.
Skills
Tools & technologies
Computer Vision
Frameworks & Libraries
Data Engineering (for ML)
Cloud & Monitoring
LLM Systems
Software Engineering
Education
Education
Istanbul Sabahattin Zaim University
2019 - 2024
B.Sc. in Computer Engineering
Experience
Experience
AI Engineer · Basefy
Aug 2025 — Present
- Develop and iterate ML/CV models for product-facing use cases using PyTorch, Keras, and OpenCV.
- Build and maintain training-ready datasets via PostgreSQL-based ELT pipelines, ensuring consistent and traceable data workflows.
- Own the end-to-end model lifecycle (prep → training → validation → packaging) and align model I/O contracts with data engineering components to enable stable inference.
Data Engineer · Buluttan Weather Intelligence
Aug 2024 — Mar 2025
- Developed Python/SQL-based data processing and automation workflows to improve ingestion and transformation reliability.
- Supported ELT processes for dataset preparation and storage, contributing to improved data flow efficiency.
- Assisted monitoring and analytics efforts using GCP tools and Grafana dashboards to enable data-driven insights.
Software Developer Intern · Bizmed
Jul 2022 — Oct 2022
- Contributed to a web-based application development using Java.
- Worked with Oracle Database for basic data storage and retrieval operations.
- Supported backend development tasks and collaborated with the team during implementation.
Projects
Selected projects
Certificates
Certificates

Huawei Cloud Kubernetes
Huawei · 2025