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baldzhiyski/README.md

Headline

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👋 Profile

class HristoBaldzhiyski:
    def __init__(self):
        self.role        = "AI Engineer @ ETAS (Bosch Group)"
        self.location    = "Stuttgart, Germany"
        self.education   = ["University of Stuttgart", "SoftUni"]
        self.focus       = ["LLM systems", "Agent orchestration", "Distributed backends"]
        self.mindset     = "Reliable, production-grade AI — research meets real systems"

    def current_work(self):
        return "AI-first backend architectures & agent-driven workflows"

AI Engineer with a strong foundation in software systems, distributed backends, and applied machine learning. Focused on building reliable, production-grade AI systems, with particular emphasis on LLM-based architectures, agent orchestration, and scalable AI services.

  • 🏢 Current role: AI Engineer — ETAS (Bosch Group)
  • 📍 Location: Stuttgart, Germany
  • 🎓 Education: Software Engineering — University of Stuttgart & SoftUni
  • 🔭 Focus: LLM-powered services, RAG, multi-agent systems, accelerator-aware design

🧠 Areas of Expertise

AI Engineering

  • LLM-based application systems
  • RAG architectures
  • Agent orchestration & tool calling
  • Production AI service integration

Machine Learning

  • Data pipelines & feature engineering

  • Applied ML & deep learning

  • Model evaluation & benchmarking

Software & Distributed Systems

  • Backend & distributed system design
  • Asynchronous & event-driven architectures
  • API design (REST, gRPC)

Architecture & Compute

  • System-level architectural thinking

  • GPUs, TPUs & accelerator-aware design

  • Performance & scalability trade-offs


⚙️ Technical Stack

Languages

Python Java C++ SQL

AI / Machine Learning

PyTorch scikit-learn NumPy Pandas Hugging Face

LLM & Agent Frameworks

LangGraph LangChain CrewAI OpenAI

AI Coding Assistants

Claude Claude Code Codex

Backend & APIs

Spring FastAPI gRPC

Databases & Messaging

PostgreSQL MySQL MongoDB Redis Elasticsearch RabbitMQ

Infrastructure & DevOps

Docker Kubernetes Git Linux


🚀 Engineering Focus

Current work centers on:

  • Designing AI-first backend architectures
  • Building LLM-powered services with clear system boundaries
  • Implementing agent-driven workflows
  • Ensuring reliability, observability, and maintainability of AI-enabled systems

Long-term objective: to contribute to robust AI engineering practices that bridge modern AI research and real-world software systems.


📊 GitHub Statistics

GitHub Streak



GitHub Profile Summary


⚡ Focused on engineering quality, reliability, and impact.

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