Agentic Coding
A disciplined approach to planning, building, verifying, and reviewing software with coding agents while developers retain final engineering judgment.
- Coding Agents
- Codex
- Astro
- TypeScript
- Tailwind CSS
Software Developer / 2026
I'm Jesus Graterol. I’m a seasoned software developer pairing durable engineering fundamentals with modern AI, coding agents, and agentic workflows.
01 / About
I'm a seasoned Software Developer with 10+ years of experience building scalable products, APIs, data systems, and infrastructure.
I bring an old-school respect for sound architecture, clear code, testing, and maintainability. I pair that foundation with an open, practical approach to new technologies that genuinely improve how software is built.
My current work includes AI-powered systems, coding agents, and agentic software development, backed by deep hands-on experience with the OpenAI API platform and Codex.
My range also extends to data science and machine learning, including training and serving complex models in production.
As a problem solver with meticulous attention to detail, I'm adept at identifying and resolving intricate challenges quickly and efficiently.
02 / Selected work
Open-source tools and focused products spanning agentic software development, Bitcoin automation, data science, developer tooling, and accessible design.
A disciplined approach to planning, building, verifying, and reviewing software with coding agents while developers retain final engineering judgment.

A cutting-edge, open-source, self-hosted platform that empowers users to automate the Value Averaging Strategy for Bitcoin.

A Progressive Web App (PWA) that provides web developers access to a curated library of high-quality color palettes that fully comply with the Web Content Accessibility Guidelines (WCAG).

A collection of publicly released npm packages, designed to streamline and enhance your web development process. Discover a diverse collection of libraries, frameworks, and command-line tools (CLIs) tailored to various needs.

A collection of Jupyter Notebooks I've developed and shared publicly on Kaggle. Explore data analysis projects, machine learning models, and other insightful explorations across diverse datasets. Feel free to use, adapt, and contribute to these notebooks as you embark on your own data science journey!
03 / Experience
Product engineering, technical leadership, architecture, and delivery across startups and established teams.









04 / Education
Formal studies and focused programs across computing, front-end engineering, data science, and machine learning.
View all certifications
Aug 2023 - Mar 2024
Meta

Jul 2023 - Feb 2024
Meta

Sep 2023 - Feb 2024
Meta

Oct 2023 - Dec 2023
The Linux Foundation

Jan 2010 - Dec 2012
University of South Australia
05 / Toolkit
75 technologies across the full product lifecycle: from interface design and application code to data, infrastructure, and testing.
06 / Contact
Have a hard technical problem, an ambitious product, or a team that could use another thoughtful engineer? I’d like to hear about it.