Serkan Yaşar

Serkan Yaşar

AI | ML Developer

Back-End Developer

Data Scientist
📋

Professional Experience

  • Coşkunöz Holding 📍 Bursa, Türkiye

    Software Developer 🗓️ 2022 - Present

    • Developed and deployed AI-powered solutions in industrial settings, focusing on Generative AI, LLMs, Computer Vision, and Machine Learning to optimize production workflows and quality control.
    • Designed and implemented RAG pipelines using Vektor databases for intelligent document retrieval and domain-specific knowledge integration.
    • Designed and deployed LLM orchestration pipelines with LangChain, CrewAI, and n8n, integrating MCP tools to power intelligent chatbots, document Q&A systems, and AI assistants via Streamlit.
    • Applied LoRA and other parameter-efficient fine-tuning techniques for domain-adapted LLM enhancements.
    • Designed and deployed automated quality inspection systems using YOLO, OpenCV, OCR, and PyTorch, reducing manual checks and improving accuracy by up to 95%.
    • Created AI systems that enabled forklift-human collision detection, resulting in a 90% reduction in workplace accidents, awarded in the MESS Occupational Safety Stars Competition.
    • Built operator monitoring systems that prevented faulty products, winning Tofaş Best Kaizen Award, TİSK Digitalization Award, and Ministry of Industry and Technology Productivity Project Award.
    • Developed edge AI systems on Jetson Nano and Raspberry Pi, enabling low-latency inference for real-time industrial scenarios.
    • Implemented microservices with FastAPI, Django, and .NET Core, and managed API integration and deployment using Docker and CI/CD pipelines.
    • Integrated IoT sensor data and PLC communication (e.g., snap7) for fault detection and signal processing in live production environments.
    • Leveraged SQL, NoSQL, and ORM frameworks to manage complex data flows and enable real-time dashboards via Power BI, Tableau, and Grafana.
    • Used RPA (Robotic Process Automation) to streamline document processing workflows, achieving annual savings of €11,000.
    • Conducted large-scale data processing using Apache Spark, Hadoop, and Kafka, with real-time visualization.
    • Experienced in prompt engineering, LLM model evaluation, and staying up to date with multi-agent architectures, hybrid search, and AI trends.
    • Experienced in leading cross-functional teams and collaborating across departments to deliver end-to-end AI solutions in production environments.
🎓

Education

  • Bursa Technical University 📍 Bursa, Türkiye

    BSc in Mechanical Engineering 🗓️ 2018 - 2023

    • Graduated with GPA 2.97. TEKNOFEST participant with HACİWATT team.

  • Istanbul University 📍 Istanbul, Türkiye

    Associate Degree in Computer Programming 🗓️ 2022 - 2024

    • Focus on software development, backend, databases, and algorithms.
    • Expected graduation with GPA 2.8.
🏅

Certifications

Blog

28Eki
Fine-Tuning Nedir ve Nasıl Çalışır? Detaylı Rehber

Fine-Tuning Nedir ve Nasıl Çalışır? Detaylı Rehber

Modern yapay zeka dünyasında, önceden eğitilmiş büyük dil modellerini (LLM) kendi ihtiyaçlarımıza göre uyarlamak artık bir zoru...

19Tem
RAG Notlarım-3

RAG Notlarım-3

Yapay zeka destekli bilgi alma sistemlerinde RAG (Retrieval-Augmented Generation) mimarileri, özellikle bilgi y...

03May
RAG Notlarım-2

RAG Notlarım-2

 Merhaba ! Serinin ikinci yazısıyla kaldığımız yerden devam ediyoruz. İlk yazıda, “Neden RAG kullanmalıyız?”, “Hangi sorunlara çözü...

20Nis
RAG Notlarım -1

RAG Notlarım -1

Merhaba! Bu yazı serisinde sizlerle, yapay zeka dünyasında adını sıkça duyduğumuz RAG (Retrie...