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Onur KansoyOK
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Onur Kansoy

@onurkansoy

I build LLM training pipelines, multi-agent RAG systems, and AI-powered products.

Turkey
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What I'm looking for

I'm looking to build and evaluate LLM-powered products, especially agentic RAG systems, post-training pipelines, and applied NLP research with opportunities to ship real systems.

I've built LLM systems from post-training research to deployed multi-agent products. My senior thesis, Smart Zebra, uses an end-to-end SFT and GRPO pipeline on Qwen2.5-3B-Instruct for logic-grid reasoning and achieved 66% accuracy on small puzzle instances.

At Research Ecosystems in Teknopark Izmir, I optimized proprietary AI models through bilingual query testing and engineered a multi-agent RAG system with LangGraph and PostgreSQL. I also developed GPT-Deep-Search, an autonomous OpenAI Agents SDK bot that discovers and aggregates academic profiles.

As an Undergraduate Researcher at Izmir Institute of Technology's Digital Humanities and AI Laboratory, I annotate and classify Ottoman Turkish documents through an AI-assisted workflow. I'm helping construct a ground-truth dataset for supervised fine-tuning of domain-specific language models intended for open sourcing on Hugging Face.

I've also shipped practical AI and product work, including a Terms of Service analysis Chrome extension, a multimodal bird identification pipeline, and a real-time mobile matchmaking app. Earlier, I designed game prototypes and helped win second place at the Kuleizmir Game Hackathon.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

Izmir Institute of Technology logoIT

Izmir Institute of Technology

Bachelor of Science, Computer Engineering

2021 -

Grade: 3.10

Pursuing a Bachelor of Science in Computer Engineering with a GPA of 3.10, expected to graduate in January 2027.

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