About

Summary

IT Consultant specializing in DX strategy, data infrastructure design, and AI agent development. I translate production-grade complexity into actionable, scalable solutions — bridging legacy enterprise systems with modern data tooling.

This blog serves as a technical portfolio: production-tested architectures, reverse-engineered protocols, and real-world workarounds across Python, TypeScript, Docker, and WSL2.

Core Competencies

  • Data Engineering & Automation
    • ETL pipeline design · SQL Server · Python (pandas, SQLAlchemy, psycopg2)
    • Docker-first data workflows · WSL2 environment engineering
  • AI Agent Development
    • LLM API integration (OpenAI, Anthropic Claude) · Prompt engineering
    • Automated reasoning pipelines · Multi-step API orchestration
  • Infrastructure & DevOps
    • Docker · Docker Compose · WSL2 · GitHub Actions
    • Environment containerization · Static site CI/CD (Jekyll)
  • SaaS Optimization & DX Consulting
    • Tech stack auditing · Cost-to-value analysis · Integration architecture
    • Stakeholder alignment · Requirements → Technical specification translation

Tech Stack

Category Stack
Languages Python · TypeScript · SQL · Bash
Infrastructure Docker · WSL2 · Linux (Ubuntu)
Data SQL Server · pandas · SQLAlchemy · ETL pipelines
AI / LLM OpenAI API · Anthropic Claude · Statistical Modeling
DevOps GitHub Actions · Jekyll · CI/CD Pipelines

Background

Transitioned into IT from a non-technical background — which means I approach system design with both a practitioner's depth and a translator's clarity. Currently embedded in enterprise DX projects, focusing on bridging legacy infrastructure with modern data tooling.

Parallel track: 4+ years of independent R&D in statistical modeling, AI systems, and production software engineering across Python and TypeScript.

Building in production. Documenting what survives contact with reality.

Contact