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tahsinsoyak/README.md

Tahsin Soyak

🤖 AI/ML Engineer & Researcher · İstanbul, Turkey


LLM agents: tools, retrieval, and multi-agent systems LLM infrastructure: benchmarking, routing, and deployment Applied research: domain LLMs and computer vision

About Me

I am an AI/ML Engineer & Researcher based in İstanbul, turning large language models and computer vision research into high-availability production systems.

  • AI Engineer @ DT Cloud: Building autonomous LLM agents (planner / retriever / writer / evaluator), an end-to-end LLM Benchmark Platform for Türkiye's Defense Industries Agency (SSB), and self-hosted multi-agent (A2A) architectures.
  • MSc in Computer Engineering (GPA 3.96 / 4.00): Thesis on Fine-Tuning Large Language Models for Turkish Agriculture.
  • TÜBİTAK Research Project: Fine-tuned Google Gemma with LoRA/PEFT, successfully passing benchmark-driven milestone evaluations.
  • Published IEEE Researcher: Computer vision & applied ML · 6× Academic Honour Certificate recipient · Former Microsoft Student Ambassador.
  • Open to research collaborations and discussions on LLM agent swarms, evaluation harnesses, and domain fine-tuning.

Browse all repositories →  ·  Read my articles on Medium →

Tech Stack

  • AI & Models: Python · PyTorch · TensorFlow · LangChain · LiteLLM · Hugging Face · OpenCV
  • Backend & Systems: FastAPI · Django · Docker · Redis · Celery · PostgreSQL
  • Architectures & Methods: RAG · LoRA / PEFT Fine-Tuning · A2A Multi-Agent Swarms · Qdrant / Chroma · Benchmarking (EM/F1)

Experience

  • AI Engineer · DT Cloud Jun 2025 - Present · İstanbul
    Architected the LLM Benchmark Platform for SSB (Türkiye's Defense Industries Agency) using Django, LiteLLM, and Redis/Celery. Built self-hosted A2A multi-agent platforms with latency/cost-aware routing. Fine-tuned Gemma (LoRA/PEFT) for agricultural intelligence under a TÜBİTAK grant.
  • R&D Engineer · Mirsis Information Technologies Sep 2023 - Jun 2025 · İstanbul
    Engineered transformer-based CV parsing for an intelligent recruitment platform, migrating legacy NLP into fine-tuned LLM services in Django.
  • Founder & Captain · Familiar Nov 2022 - Present
    Built meeting summarizers, content generation assistants, and medical-imaging classification pipelines (breast cancer and brain tumour).
  • Scientific Researcher · University of Groningen Aug 2023 - Oct 2023 · Netherlands
    Engineered custom machine learning models and visualizations for scientific research publications.

Research & Publications

  • IEEE (2025): Strawberry Counting & Ripeness Detection on the Web (Real-time web computer vision pipeline)
  • MSc Thesis (GPA 3.96 / 4.00): Fine-Tuning Large Language Models for Turkish Agriculture (TÜBİTAK funded)
  • Applied ML (2023): Song Popularity Classification Using the Spotify Dataset
Verified Certifications (Click to expand)
  • Agents & Retrieval: Hugging Face (MCP · AI Agents) · NVIDIA (RAG Agents) · LangChain (Chat with Your Data)
  • Models & NLP: Google (Gemini Multimodal) · DeepLearning.AI (Fine-tuning LLMs · NLP in TensorFlow)
  • ML & Edge: Stanford (Machine Learning Specialization) · IBM (ML with Python) · NVIDIA (Jetson Nano)

📊 GitHub Analytics

GitHub Contribution Streak

🏅 Leadership & 🌍 Languages

  • 🧠 Founder & President: AI Society, Yozgat Bozok University · 🎤 Microsoft Student Ambassador · 🏆 6× Academic Honour Certificate recipient
  • 🌍 Languages: 🇹🇷 Turkish Native · 🇬🇧 English Fluent · 🇳🇱 Dutch Elementary · 🇩🇪 German Elementary

Contact

Looking to collaborate on agent systems, fine-tuning, or production LLM infrastructure?

Email LinkedIn

Thanks for visiting! Feel free to star the repos or connect.

Pinned Loading

  1. song-popularity-prediction song-popularity-prediction Public

    Positioned the project as a foundation for future research in song feature analysis, with implications for personalized music recommendations and enhanced user experiences on music streaming platf…

    Jupyter Notebook

  2. breast-cancer-detection breast-cancer-detection Public

    This project implements a comprehensive breast cancer classification system using neural networks with multiple evaluation methodologies. The system analyzes breast cancer data to classify tumors a…

    Python

  3. strawberry-ai-on-web strawberry-ai-on-web Public

    A Flask-based web application that analyzes images of strawberries using YOLO object detection models to identify and classify strawberries by their ripeness state.

    HTML

  4. rag-pdf-chat-app-hf rag-pdf-chat-app-hf Public

    A Retrieval Augmented Generation (RAG) application that allows users to chat with their PDF documents. Upload a PDF and ask questions about its content to get accurate, contextual answers.

    Python