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Software developer · Connecticut

Aeon Chavez.

Software, data, and practical AI.

I build applications and explore data, drawing on experience in enterprise software and applied machine learning.

Explore my work View résumé
Aeon Chavez

About

A little about me.

I’m a software developer based in Connecticut, with a background spanning enterprise software, data science, and AI. I spent two years at IBM contributing to storage and cloud products, and have since built full-stack features for a healthcare learning platform and completed a data science fellowship at The Knowledge House.

I care about building things that are useful, well-documented, and grounded in real needs. I’m especially interested in where software, data, and AI meet—from exploring patterns in a dataset to building tools people can use. I also create commissioned websites for small businesses.

English / Tagalog

Work & learning

Background & highlights

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Professional work

Enterprise software at IBM

IBM

Jun 2021–May 2023

Two years contributing to enterprise interfaces, Python integrations, and CI/CD across storage and cloud teams.

View details: Enterprise software at IBM

On Storage Fusion, integrated Kafka messaging and Prometheus metrics through Python REST APIs and managed Docker images in JFrog Artifactory on OpenShift. Partnered with product, UX, and backend teams on React interfaces. On Spectrum Protect, worked on cloud UI features, technical reporting, CI/CD, and security scans.

Contract work

Full-stack development

Training and eTracking Solutions

Jun–Jul 2026

Built Next.js and TypeScript features for a healthcare learning platform serving 60K+ users, working with AWS and AI-assisted development.

View details: Full-stack development

Contributed to a 2,900-course state-compliance catalog and a B2B/D2C migration. Worked through collaborative PR reviews, using AI-assisted development to support implementation and code quality.

Fellowship

Data science & applied ML

The Knowledge House

Jan–Jul 2026

Completed a data science fellowship applying Python, SQL, statistics, and machine learning to practical data problems.

View details: Data science & applied ML

Developed models, engineered features, and produced stakeholder-ready reports and visualizations. Documented data-quality decisions and analytical trade-offs throughout the fellowship.

Hackathon

AI hackathon project

AI for Impact · Everything Dough

May 2026

Led team strategy, prompt engineering, and the live presentation of an AI booking assistant and CRM prototype for Everything Dough in Stamford.

View details: AI hackathon project

Developed for a small business in Stamford, Connecticut, the prototype paired Lexi for booking inquiries with Crust for lead and pipeline information. Demonstrated live to nearly 50 attendees at AI for Impact.

Capabilities

What I work with

Software
React, Next.js, TypeScript, JavaScript, Python, Java, REST APIs
Data & AI
SQL, Pandas, statistics, machine learning, data visualization, AI integration
How I build
Git, CI/CD, Agile, UI/UX, AI-assisted development, documentation

Education

University of Connecticut

B.S. Computer Science & Engineering
Minor in Mathematics · 2021

Writing

From my notebook

Launchpad Summit Experience All posts

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A role, a project, or a good conversation.

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