Menu

About Me

Tech entrepreneur focused on AI automation, new technology based products, and developer tooling.

Portrait of AB

Bio

I have spent over two decades building software and systems—from data pipelines and APIs to web UX. I have a passion for engineering, art, and traditional skills. My recent work varies, often blending engineering and art to solve real-world problems and enhance daily life.

When I’m not working on software or work projects, I’m probably cycling, tweaking a sourdough starter, or planning the next garden season.

Portfolio

A selection of projects and experiments — current work up top, a few older builds and exercises below. More lives on GitHub.

Current work

albertbustamante.com

This site — a hand-built static site with a custom terminal-inspired theme, dark mode, a hero carousel, and a growing Tech & Living blog.

HTML Bootstrap 5 JavaScript

Site AI Assistant

A Claude-powered assistant that answers visitor questions grounded in the site's own content, served through a lightweight server-side proxy with prompt caching and rate limiting.

PHP Claude API JavaScript

Code & experiments

Landmarks

A SwiftUI app built while exploring Apple's declarative UI framework and the iOS development workflow.

Swift SwiftUI

adventure_game

A text-based adventure game written in Python — a small exercise in game loops, state, and parsing player input.

Python

Harvard CS50 — Web

Coursework from Harvard's CS50 Web Programming with Python and JavaScript (edX) — front-end through full-stack fundamentals.

HTML JavaScript Python
See all projects on GitHub →

Recent Training

A snapshot of recent, hands-on coursework — mostly DeepLearning.AI short courses — focused on building with modern generative AI. Each was project-based; the notes below are what I built or worked with.

Agents, Protocols & Tooling

Claude Code: A Highly Agentic Coding Assistant

Agentic coding workflows — planning, subagents, MCP integration, git worktrees, hooks, and automated GitHub PR review.

Anthropic

MCP: Build Rich-Context AI Apps

Built and deployed Model Context Protocol servers and clients to standardize how LLMs reach tools, data, and prompts.

Anthropic

Long-Term Agentic Memory with LangGraph

Built an email agent with semantic, episodic, and procedural long-term memory using LangGraph.

LangChain

ACP: Agent Communication Protocol

Cross-framework agent communication; built sequential and hierarchical multi-agent systems (since merged into A2A).

IBM Research

Building Code Agents with smolagents

Code agents that act by writing executable code; safe sandboxed execution and production-grade evaluation.

Hugging Face

Open & Multimodal Models

Building with Llama 4

Long-context (up to 10M tokens) and multimodal apps — image grounding, reasoning, prompt optimization, and synthetic data.

Meta

Open Source Models with Hugging Face

NLP, audio, vision, and multimodal tasks with the transformers library, deployed via Gradio and Spaces.

Hugging Face

Building Generative AI Applications with Gradio

Fast GenAI app UIs — summarization, image captioning, diffusion image generation, and LLM chat.

Hugging Face

Prompting & Python Foundations

ChatGPT Prompt Engineering for Developers

Systematic prompting for summarizing, inferring, and transforming text, plus building a custom chatbot on the OpenAI API.

OpenAI · DeepLearning.AI

Prompt Engineering with Llama 2 & 3

Few-shot and chain-of-thought prompting, Code Llama pair-programming, and Llama Guard safety checks.

Meta

AI Python for Beginners

Practical Python that calls LLMs, automates tasks, and analyzes data with BeautifulSoup, matplotlib, and live APIs.

DeepLearning.AI

Evaluation & MLOps

Evaluating and Debugging Generative AI

Experiment tracking, dataset and model versioning, and tracing LLM prompts and responses with Weights & Biases.

Weights & Biases
© Albert Bustamante • Currently, all systems nominal.