Mehmet Yener YILMAZ

Designed and developed AI-enabled microservices in Python and FastAPI, with LLM-powered services for agentic workflows, retrieval pipelines, and automation-oriented business use cases. Built RAG systems with LangChain, FAISS, and OpenAI over structured and unstructured enterprise data; worked on prompt orchestration, tool-use patterns, context handling, semantic search, and fine-tuning or adaptation workflows. Supported production reliability with RabbitMQ, secure versioned REST APIs, retry/DLQ/idempotency patterns, and performance-minded data access across PostgreSQL, Oracle, and Redis.

Developed infrastructure and core libraries for Yemeksepeti, built backend microservices and reusable UI foundations, and delivered applied ML.NET solutions for anomaly detection, multilingual emotion analysis, and recommendation prototypes. Worked with Data Science and DevOps teams to containerize ML workloads with Docker and deploy on AWS ECS, helping operationalize ML inside enterprise .NET services.

Led architecture and delivery for ERP mobile apps (React Native/Redux) and .NET Core services; mentored juniors, reviewed code, helped hiring; taught React/React Native; published mobile apps to App Store/Play Store; managed SDLC and best practices.

Full‑stack leadership for Ministry of Health systems (HSYS/MBYS) and Ministry of Finance portal projects. Built enterprise web/mobile apps and APIs, optimized databases/services, implemented CI/CD, security and production releases. Taught React/Redux/React Native (hooks, context, testing) and helped define UI component infrastructure.

Software development on Linux for embedded devices (network traffic monitoring). Built web filter gateway and management tools, including Elasticsearch query builder and log checker utilities.

Developed .NET applications for regulatory projects (Seveso III / impact assessment), bug tracking system, and web services.