Hello, I’m
JETCHOMEN
Full-stack engineer at Accenture. Enterprise stacks by day, multi-agent orchestration and AI tooling on the side. Scroll to descend.
I build reliable software systems.
Full-stack engineer at Accenture, based in Cebu. Day job spans Angular, React, .NET, Node.js, and PEGA across enterprise systems, plus AI-assisted Python workflows that wire previously siloed tools together. After hours skews to multi-agent orchestration, LLM integrations, and whatever side project annoyed me into building a tool for it that week.
What I obsess over is the invisible part. Types that hold up after a refactor. Tests that fail loudly for the right reason. Migrations that don’t require a Friday-night Slack thread. The projects below are real, most still get commits, and the lab section says which ones don’t deserve a UI yet.
Frontend engineering
Component systems that don't fight you six months later. Accessible by default. The content does the talking, not the chrome.
Backend architecture
Clear API contracts. Types that hold from the database to the client. Boring deployments are good deployments.
AI and multi-agent systems
Local model inference, agent orchestration, LLM integrations (Claude, OpenAI, Ollama). The useful kind, not the demo kind.
Test automation
Playwright and Jest suites that catch real regressions instead of just covering the happy path.
Education
BS Computer Engineering
University of San Carlos, Talamban Campus
2018 to 2022
Recognition
- Cum Laude graduate
- DOST Merit Scholar
- Maxim Integrated Scholar
- Carolinian Academic Distinction Awardee
Work history
The last three years in detail. Mostly Accenture rotations across full-stack, automation, PEGA, and packaged apps, with a stretch in hardware test before that.
Full Stack Developer
Accenture- Ship full-stack features for enterprise clients across Angular and React frontends backed by .NET, PEGA, and Node.js. Most of the work crosses legacy and modern systems in production.
- Design AI-assisted Python workflows that automate internal process steps and stitch together tools that used to require manual handoffs.
- Built an AI mock-response layer that generates backend stubs matching the API spec, so frontend teams stop blocking on downstream APIs coming online.
Test Automation Engineer
Accenture- Built end-to-end Playwright and TypeScript automation over critical PEGA application flows. Killed a meaningful chunk of manual regression work.
- Wrote reusable page-object and fixture utilities so coverage scaled across multiple feature streams without rewriting setup every time.
PEGA Systems Architect
Accenture- Built a Car Insurance Claim proof-of-concept in PEGA covering the full case lifecycle. Claim initiation, validation routing, approval.
- Turned business requirements into case-management designs, decision tables, and integration patterns ready for production hand-off.
Java Packaged Application Developer
Accenture- Built packaged applications on Java EE and Spring Boot backends with React frontends. Jenkins pipelines for CI/CD.
- Completed the Agile Methodology bootcamp and applied Scrum to feature delivery. First Accenture rotation.
Test Development Engineer
Maxim Integrated PH (now Analog Devices)- Developed semiconductor test programs in Teradyne's proprietary language and C# for production hardware validation.
- Diagnosed test-program failures by comparing measured hardware behavior against expected electrical specifications, which cut debug cycles meaningfully.
Core technologies
Everything below is something I actually use, either at work or on side projects. No padding for resume score.
Frontend
7 toolsStrict types, accessible interfaces, state that doesn't bog down on big trees.
Backend
9 toolsClear API contracts. Boring deployments. Services that fail loudly when they break.
Data
5 toolsSchemas that match the domain, indexes that match the queries.
AI and automation
6 toolsLocal model inference, agent orchestration, streaming responses straight into real UIs.
Test automation
4 toolsEnd-to-end coverage that catches real regressions, not just happy paths.
DevOps and tooling
7 toolsPipelines, containers, and dashboards I trust enough to deploy on a Friday.
Enterprise
5 toolsWorking in old codebases without making them worse. Audit trails, routing, PEGA quirks.
PROJECTS
Software I’ve shipped recently. Click any project for the stack, the design calls, and what I actually built.
AI Video Generator
A local video pipeline that turns a narrated script into a fully edited clip by scraping reference images, ranking them with CLIP, and composing with FFmpeg.
Multi-Agent Dev Platform
A standards-driven orchestrator that coordinates Feature, Dev, Test, Security, and DevOps agents through a shared JSON workflow, with a live React dashboard.
CodingQuest
A self-hosted coding practice platform that runs Python entirely in the browser via Pyodide, with a FastAPI backend for problems, submissions, and auth.
Stock Market Trend Dashboard
A dark-mode grid of 10-year trend charts built on TradingView Lightweight Charts, with a draggable layout and a FastAPI backend.
Game Launcher
A Windows desktop app that scans configured game directories, tracks play sessions, and supports custom non-Steam shortcuts. Electron, React, SQLite.
Tools and experiments
Backend services, ML pipelines, and CLI tools. The stuff that doesn’t get a fancy UI. Some live on GitHub, some stay local until the idea settles.
Self-hosted audio transcription API. faster-whisper for speech, PANNs for sound events, Redis-backed job queue with SSE streaming for progress.
An XGBoost-based NBA margin predictor with quarter-level models, betting odds integration, and a planned FastAPI + React interface.
A tennis outcome modeling pipeline, same shape as the NBA predictor. Data ingestion, feature engineering, model training, all script-driven.
Live from GitHub
Contribution heatmap and recent activity from my public repos. The stuff I’m actively pushing on, plus the long tail of side projects that didn’t make the featured cut above.
Recent repositories
How this site was built
Next.js, React, and Tailwind, deployed as a static export to GitHub Pages. I work with AI tooling daily, so I want to be upfront about where it shows up here.
AI in the workflow
The hero animation is an AI-generated frame sequence. A lot of the scaffolding (component skeletons, the canvas chrome, the cursor effects) was paired with an AI coding assistant.
The human part
I drive the design decisions. I write the prompts. I open the codebase and fix what the assistant gets wrong, which is regularly. The voice on this page is mine.
Why I show it
AI tooling is part of the job now. Pretending otherwise on a portfolio feels dishonest. The work that matters is the judgment around the tools, not whether the tools were used.
Want to work together?
Pick the channel that’s easiest for you. I read everything that lands.
Shoot me a message!
Shoot me a message!
