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Furkan Çolhak

Furkan Çolhak

AI Engineer

On-demand
Berlin, DE
3-7 years

Average response time: 1 hour

About Furkan

I build production-ready AI systems that ship fast and scale. Using LangChain, LlamaIndex, and Ollama for on-device/model orchestration, plus Python and n8n for automation, I design end-to-end LLM workflows—from data pipelines and RAG to smart assistants and API services—deployed on Google Cloud (Cloud Run, Vertex AI, GCS). My edge is rapid prototyping with clean handoff to robust, monitored deployments. Typical deliverables: AI integration, retrieval pipelines, agentic workflows, low-code automations, and GCP-backed APIs.
  • English

    Native or bilingual

  • Turkish

    Native or bilingual

Can work on-site
Berlin (up to 50km)

Experience

  • S4E (Security for Everyone)
    AI Product Engineer
    June 2025 - Today (1 year)
    Tallinn, Estonia
    • Developed a production-ready chatbot interface that allows users to interact with the S4E security platform's features (e.g., scan triggering, asset lookup, vulnerability lookup) through natural language commands, leveraging LangChain-based RAG pipelines with Qdrant and Supabase as the vector store and deployed via FastAPI.
    • Designed and fine-tuned LLM-based alert generation & interpretation modules, improving detection accuracy by around 8% through iterative prompt engineering and model selection.
    • Built and productionized ML-based detectors such as Login Page Detector and File Upload Detector.
    • Developed multiple n8n-based automation workflows, including a pipeline that automatically validates pentest reports by cross-referencing LLM-generated summaries against scanner outputs.
    langchain LLM Chatbot Machine learning Model Optimization
  • KHAS Research Center on Cybersecurity and Critical Infrastructure Protection
    AI/Cybersecurity Researcher
    October 2022 - May 2025 (2 years and 7 months)
    İstanbul, Türkiye
    • Led and contributed to research applying AI/ML techniques (NLP, Computer Vision, Transformers).
    • Engineered automated data pipelines for processing large-scale datasets for ML model training.
    • Created the MTLP-Dataset (100K+ samples) designed for machine learning research.
    • Translated research findings into practical AI/ML systems and publications.
    • Authored and co-authored peer-reviewed papers and a book chapter focusing on applied AI/ML.
    Machine learning artificial intelligence Model Optimization Data science
  • Kadir Has University
    TeachingAssistant
    September 2024 - January 2025 (4 months)
    İstanbul, Türkiye
    • Assisted in delivering university-level courses on Data Intelligence and Statistical Analysis, covering key topics such as data preprocessing, data visualization, hypothesis testing, and linear models.
    Data science artificial intelligence Model Optimization Machine learning

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Education

  • Master of Science inApplied
    SRH Berlin University of Applied Sciences
    2024
    Master of Science inApplied
  • Bachelor of Science
    Kadir Has University
    2024
    Bachelor of Science

Skill set

Categories