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BaturalpOz/README.md

Hi there, I'm Baturalp 👋

AI/ML Engineer | Backend Developer

I’m passionate about building intelligent systems, scalable backend architectures, and applying AI to solve real-world problems. My work spans LLM systems, RAG pipelines, multi-agent workflows, and backend microservices.


🔭 Current Role

  • AI/ML Engineer at NewMind AI
    • Building advanced LLM-powered agents using frameworks like Agno, LlamaIndex, and MCP
    • Developing Graph-RAG systems with Qdrant & Neo4j
    • Designing microservice architectures with Python, Go, gRPC, Kafka, and NATS
    • Handling big data processing with Spark, ClickHouse, Elasticsearch, and PostgreSQL

💻 Skills

  • Languages: Python (FastAPI, Flask, Spark), Go, Java, C#
  • Databases: PostgreSQL, Qdrant, Neo4j, Elasticsearch, ClickHouse, MongoDB, Firebase
  • AI/ML: RAG Pipelines, Multi-Agent Systems, LlamaIndex, LangGraph, Transformers, MCP
  • Systems & Architecture: Kafka, NATS, gRPC, REST APIs, Microservices, Streaming Systems
  • DevOps & Tools: Docker, Kubernetes, Git, Linux

🎓 Education

  • B.S. Computer Science & Engineering @ Sabancı University
    • Graduated June 2024 (Top 0.8% in national exam, 75% scholarship)

🛠 Projects

  • Comment/Review Summarizer API AI-based review summarization with sentiment analysis & hierarchical LLM summarization
  • HPC Assistant – Fine-tuned LLM for the High-Performance Computing domain using TRUBA cluster & HuggingFace
  • Music Sharing Website – Backend API in Flask, Firebase DB, integrated web & mobile apps
  • Stock Market News App – Real-time stock tracking & news feed with Java Spring & Android
  • Shill Bidder Detection – ML model to detect fraud in auctions (Sci-kit Learn, NumPy)
  • Gender Bias in YouTube Research – NLP project detecting gender bias in media

🌱 Currently Exploring

  • Scaling multi-agent AI systems
  • Go microservices with gRPC & streaming
  • Advanced retrieval-augmented generation (RAG) techniques

📫 Connect with Me


Pinned Loading

  1. HPC-Assistant-Paper HPC-Assistant-Paper Public

    Contains the paper for the project HPC-Assistant