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TOBB University of Economics and Technology, Ankara
2021 – 2026
B.S. in Artificial Intelligence Engineering — focus on machine learning, deep learning, NLP, and software architecture.
Graduation project — an 8-module, human-in-the-loop multi-agent LLM system automating antitrust legal investigation workflows, built with a 4-person team. See ACLISS on Key Projects.
Experience
AI Engineering Intern / Developer — Mikrogrup
May 2026 – Aug 2026
- Developed MomTest AI end-to-end, automating structured customer-discovery workflows for business validation.
- Designed an agent loop using function calling and structured outputs, with strict guardrails against leading-question bias.
- Deployed and operated the production environment on AWS (EC2, S3, IAM, CloudWatch) and built unit/integration test suites.
- Owned model training and fine-tuning for a CAPTCHA OCR model, raising recognition accuracy from 41% to 93%.
AI Engineering Intern / Developer — Başarı Mobile
Sep 2025 – Jan 2026
- Designed and built a database-agnostic Text2SQL agent end-to-end, from architecture through prompt engineering.
- Built a hybrid retrieval (dense + BM25) architecture with Qdrant (HNSW) for dynamic schema retrieval and selection.
- Reached ~95% accuracy on simple queries and ~85% on medium-complexity queries.
- Load-tested with Locust and monitored latency (p50/p95/p99) via Prometheus & Grafana.
AI Engineering Intern — Havelsan Technology Radar
Sep 2024 – Jan 2025
- Designed and trained an edge-attentive residual CNN from scratch to denoise raw radar imagery.
- Implemented hybrid activation and loss functions to preserve high-frequency structural detail.
- Applied ensemble learning across multiple architectures and managed the end-to-end training pipeline.
Skills
Programming Languages
Machine Learning & Deep Learning
NLP, LLMs & Vector Search
Data Analysis & Engineering
MLOps, Cloud & Deployment
Projects
Full write-ups — problem, architecture diagrams, technical decisions, and results — live on Key Projects rather than repeated here.
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