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.
Tech entrepreneur focused on AI automation, new technology based products, and developer tooling.
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.
A selection of projects and experiments — current work up top, a few older builds and exercises below. More lives on GitHub.
This site — a hand-built static site with a custom terminal-inspired theme, dark mode, a hero carousel, and a growing Tech & Living blog.
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.
A SwiftUI app built while exploring Apple's declarative UI framework and the iOS development workflow.
A text-based adventure game written in Python — a small exercise in game loops, state, and parsing player input.
Coursework from Harvard's CS50 Web Programming with Python and JavaScript (edX) — front-end through full-stack fundamentals.
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.
Agentic coding workflows — planning, subagents, MCP integration, git worktrees, hooks, and automated GitHub PR review.
AnthropicBuilt and deployed Model Context Protocol servers and clients to standardize how LLMs reach tools, data, and prompts.
AnthropicBuilt an email agent with semantic, episodic, and procedural long-term memory using LangGraph.
LangChainCross-framework agent communication; built sequential and hierarchical multi-agent systems (since merged into A2A).
IBM ResearchCode agents that act by writing executable code; safe sandboxed execution and production-grade evaluation.
Hugging FaceLong-context (up to 10M tokens) and multimodal apps — image grounding, reasoning, prompt optimization, and synthetic data.
MetaNLP, audio, vision, and multimodal tasks with the transformers library, deployed via Gradio and Spaces.
Hugging FaceFast GenAI app UIs — summarization, image captioning, diffusion image generation, and LLM chat.
Hugging FaceSystematic prompting for summarizing, inferring, and transforming text, plus building a custom chatbot on the OpenAI API.
OpenAI · DeepLearning.AIFew-shot and chain-of-thought prompting, Code Llama pair-programming, and Llama Guard safety checks.
MetaPractical Python that calls LLMs, automates tasks, and analyzes data with BeautifulSoup, matplotlib, and live APIs.
DeepLearning.AIExperiment tracking, dataset and model versioning, and tracing LLM prompts and responses with Weights & Biases.
Weights & Biases