Full-Stack · AI · Python

Hi, I'm Dan

AI Systems Engineer / AI Solution Architect

Welcome to my space! With 8+ years of engineering experience in the tech and semiconductor sectors, I specialize in transforming complex domain expertise into production-grade automation using GenAI, Agentic AI, and distributed data systems.

📖 Read Blog GitHub ↗
8+ years experience in tech data & software systems engineering Specialized in GenAI, Agentic AI workflows, and RAG architectures Deployed RAG diagnostic systems, reducing team comms overhead by 50% Built enterprise proactive data platforms saving 32,000+ hours annually Spearheaded AI adoption (Cursor/Copilot) for 80+ engineers
Dan
Skills

Tech Stack

Technologies I use daily to build production systems

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Programming
Python SQL JavaScript HTML / CSS Bash
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AI / ML
PyTorch scikit-learn LangChain RAG LLM Fine-tuning YOLO
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Cloud & DevOps
GitHub Actions Cloudflare Pages Google Cloud Run Docker Kubernetes
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Data & Tools
Pandas NumPy Jinja2 Streamlit Jupyter Git
Work

Featured Projects

Open source tools, AI projects, and side experiments

Private AI Coding Assistant (Gemma + Colab + ngrok)

Private AI Coding Assistant (Gemma + Colab + ngrok)

Self-hosted AI coding assistant running Google's open-source Gemma 2B on a free Colab T4 GPU. Exposes a FastAPI server via ngrok and connects to the OpenCode terminal client — zero cloud cost, full code privacy.

Python AI LLM Gemma
⭐ GitHub 🔗 Live
Personal Website with Hugo, Github action

Personal Website with Hugo, Github action

This is my personal website built with Hugo, a static site generator, and hosted on GitHub Pages.

Python Automation Hugo Github action
⭐ GitHub 🔗 Live
Traffic_Monitoring_YOLO

Traffic_Monitoring_YOLO

A proof-of-concept system that automatically detects traffic violations on crosswalks using Python and YOLO, including object detection, license plate recognition, and pedestrian path analysis.

Python Computer Vision YOLO Traffic Monitoring
⭐ GitHub 🔗 Live
Retirement_Guardrail_Planner

Retirement_Guardrail_Planner

A review and analysis of the performance of your retirement assets in historical market scenarios when using the Guyton-Klinger (GK) dynamic withdrawal rule.

Python Automation Financial Planning Retirement
⭐ GitHub ▶ Colab 🔗 Live
Generative AI Introduction

Generative AI Introduction

This repository contains materials for the Generative AI Introduction 2024 course and other AI-related projects.

Python Automation Language Model AI
⭐ GitHub
Gpx_formatter

Gpx_formatter

Easy transition of GPX to Garmin format

Python GPX Data Cleaning Streamlit
⭐ GitHub 🔗 Live
Writing

Recent Articles

Notes on AI, engineering, and continuous learning

🧭 AI/ML and System Architecture Article Map: From Theory to Practice
2026-09-05 · AI

🧭 AI/ML and System Architecture Article Map: From Theory to Practice

A curated map of AI articles — from the Model Context Protocol (MCP) and prompt engineering best practices, to open-source breakthroughs in local AI, vector databases, and developer tooling — to help you quickly grasp the latest trends in generative AI.

AI LLM Development Open Source Newsletter
Notes on Amazon Leadership Principles
2026-08-19 · Hugo & Blog

Notes on Amazon Leadership Principles

Analyzing Amazon's Leadership Principles (LPs) as an operating system analogous to CI/CD agile mindsets, two-way door decisions, and input metrics.

Hugo & Blog
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