AI & ML Engineer | LLMs | Agent Systems | Real-World AI Implementation

I am an AI & Machine Learning Engineer focused on designing, engineering, and deploying AI systems. My work centers on LLMs and ML pipelines that move beyond experimentation into real-world usage.

I’m particularly interested in building reliable, scalable, and explainable AI systems that integrate cleanly with modern software stacks.

• Large Language Models (LLMs)

  • Prompt engineering, fine-tuning, and evaluation
  • RAG (Retrieval-Augmented Generation) systems
  • Tool-using and function-calling agents

• Agent Systems

  • Multi-agent orchestration
  • Workflow-driven agents for automation and decision support
  • Agent reliability, memory, and control flow

• Machine Learning Engineering

  • Model training, evaluation, and deployment
  • Data preprocessing and feature engineering
  • Production ML pipelines

• Applied AI

  • AI systems for real-world business and engineering problems
  • Bridging research concepts with practical implementation

Languages & Tools

• Python, Jupyter Notebook
• Git, GitHub

AI / ML

• LLMs (OpenAI-style models, open-source LLMs)
• RAG, embeddings, vector databases
• Agent frameworks and orchestration concepts
• Classical ML fundamentals

• Deepening expertise in agentic LLM systems
• Building production-oriented AI solutions
• Improving system reliability, evaluation, and scalability for AI applications

• LinkedIn: https://www.linkedin.com/in/bagheriramin/
• Email: rbagheri85@gmail.com 🙂
• GitHub: You’re already here 🙂