I am an AI Engineer and Systems Architect with over 25 years of experience building mission-critical infrastructure. My background bridges the gap between deep systems engineering (Telecom/Networking) and modern Machine Learning.

My expertise lies in taking complex, theoretical architectures and making them stable in production environments—from running my own VoIP startup to leading global technical projects for a telecom giant.

The Pivot to AI & Automation

Recently, I have shifted my focus to the intersection of traditional infrastructure and Generative AI. I realized that while I have spent decades configuring systems manually or via standard scripts, Large Language Models (LLMs) offer a new paradigm for automation. My focus is on Vertical AI: taking general-purpose Large Language Models (LLMs) and fine-tuning them to become domain experts in complex enterprise environments.

My current flagship project is an Autonomous Infrastructure Agent. Instead of relying on generic prompts, I am engineering a specialized solution for Enterprise PBX configuration:

  1. Data Curation: Building datasets from technical documentation.
  2. Fine-Tuning: Training adapter layers (LoRA) on open-source models (Llama / Gemma).
  3. Agentic Architecture: Coding the orchestration layer in Python to allow the model to plan, execute, verify, and rollback configuration changes autonomously.

Technical Arsenal

AI Engineering & MLOps:

  • Model Engineering: Fine-tuning (Unsloth), Quantization (GGUF/AWQ), and Context Window optimization.
  • Inference & Ops: Deploying local models via Ollama and LM Studio, containerizing AI workloads (Docker/Kubernetes), and GPU resource management.
  • Agentic Workflows: RAG (Vector Embeddings/ChromaDB), Tool Calling, and Multi-Agent Orchestration.

Systems Engineering Foundation (25+ Years):

  • Unified Communications: Deep expertise in SIP, RTP, Mitel Ecosystem, and Asterisk.
  • Server & Database: Apache/Nginx, Postfix, Oracle (PL/SQL), and MySQL.
  • Infrastructure: Linux (RedHat/Ubuntu), AWS, Google Cloud, and Network Security.

My Philosophy

“A model is only as good as its deployment.” I bring the operational discipline of a full-stack Systems Architect to AI—ensuring that the Neural Networks we build are robust, secure, and integrated seamlessly into legacy enterprise ecosystems.

Let’s Connect

I am open to roles focused on LLM Engineering, MLOps, and Applied AI, where deep technical understanding of both the model (software) and the metal (infrastructure) is required.

Email Me