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Achievements

Achievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: YOLO

Achievements

Achievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: YOLO

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baldzhiyski/README.md

Headline

Profile

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.

Background combines backend engineering experience with hands-on AI system development.

  • Location: Stuttgart, Germany
  • Current role: Junior Backend Engineer — Promotive
  • Education: Software Engineering — University of Stuttgart & SoftUni

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

AI & Machine Learning

PyTorch NumPy Pandas scikit-learn

LangGraph LangChain CrewAI

Backend & APIs

Databases & Messaging

PostgreSQL MySQL MongoDB Redis Elasticsearch RabbitMQ

Infrastructure

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



Contact

Focused on engineering quality, reliability, and impact.

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  1. data-science-machine-learning-training data-science-machine-learning-training Public

    Jupyter Notebook 1

  2. LangGraph-Mastery LangGraph-Mastery Public

    Python 1

  3. spring-ecommerce-ai-microservices spring-ecommerce-ai-microservices Public

    Java 1

  4. ReactJs-NextJs-Course ReactJs-NextJs-Course Public

    JavaScript 1

  5. Crossfit-Web-App Crossfit-Web-App Public

    Java 1

  6. Data-Structures_Algorithms Data-Structures_Algorithms Public

    Java 1