Step 01
Study what works.
Don't reinvent. Pull from the best — the patterns, components, and flows already winning in production. See the architecture before you write a line of code.
Find proven patterns
I build thingsthat actually ship.
Full-stack developer certified in data science from the Philippines. I build things end-to-end — online stores, mobile apps, automation workflows — and find ways to make them a little smarter with AI.
§ The method
Why most devs stall,
and what to do about it.
They skip the basics. They know they should follow the steps, but they forget — because they don't have a system. Here's mine.
Step 02
Make it your own.
Adapt — don't copy. Re-shape the proven pattern around the real user, the real client, the real edge case. The boring version is almost always the right one.
Adapt with intentStep 03
Ship it like you mean it.
Code is half the job. Polish the empty state. Write the README. Push it live, share it on TikTok, get the first ten users. Shipping is the only thing that compounds.
Build & shipe-commerce stack philippines
✓Next.js · App Router98% sites
✓Supabase · Authlive
✓Tailwind · v4stable
✓OpenAI · gpt-4o-mini~$0.15/1K
✓Stripe · CheckoutPHP ok
✓Vercel · Edge0ms cold
Generic template
Built for your market
StripePayPalCOD
Product No. 03
$29.00
Add to cart →
$ git push origin main
Enumerating objects: 47, done.
Writing objects: 100% (47/47)
remote: Deploying to production…
✓ Deployment complete · 12s
↗ https://busy-bean.vercel.app
12sbuild
98lighthouse
liveprod
Study what works.
§
Featured work
Real products. Real users.
Every project below is live (or in active development). Not coursework.
Full Stack Developer
Silangan Scents
E-Commerce & AI Scent Finder
Full e-commerce SaaS for independent perfumers — product catalog, cart, multi-payment checkout (GCash, Maya, COD), and an AI Scent Finder via mood and note inputs. Targeting 3,000+ fragrance micro-businesses in the Philippines still relying entirely on in-store sales.
Scent meets AI
Homepage1 / 8
Full Stack Developer
What Runner Are You?
Strava-powered Personality Engine
Connects to Strava OAuth to pull real GPS run data — pace, schedule, elevation — and classifies you into 1 of 8 runner archetypes with a personalized roast line.
Zero data stored
Hero1 / 6
Full Stack Developer
The Busy Bean
Coworking Café — Dasmariñas, Cavite
Marketing and operations site for a real coworking cafe in Dasmariñas, Cavite — menu showcase, Mailchimp email subscriptions, and a password-protected admin dashboard backed by Supabase. Owners can live-edit menu items with image uploads, manage their subscriber list (CSV export, one-click Gmail blast), and track site visit counts — all without touching code.
Live site
Login1 / 9
mock-up
platform design overview
Lead Developer
Hatid Amadeo
Local Delivery Platform
A production-grade, three-platform ride-hailing system built from the ground up for Amadeo, Cavite — a municipality of 41,901 residents across 26 barangays with limited digital transport options. The system connects riders and drivers in real time through Flutter mobile apps backed by a Python/Flask API and Firebase, featuring a fully working in-app wallet with PayMongo cash-in integration, dynamic surge pricing that auto-scales fares by barangay based on demand-to-supply ratio, and a live Next.js admin dashboard for fare management, driver operations, and transaction monitoring.
In active development
TransWealth Staffing Analysis
Valet Operations — Q1 2026
- Conducted a valet staffing analysis for Q1 2026, evaluating whether a 47.5% reduction in driver headcount still met service quality standards across a daily average of 302 cars.
- Built a capacity model demonstrating that the reduced team could handle more than 2.5× the current daily demand — providing data-backed justification for the staffing reduction.
- Identified a bottleneck risk at the entrance/ticketing station and recommended operational adjustments to maintain service quality during peak surge periods.
- Delivered findings as a management review report with actionable recommendations for weekly volume monitoring and surge staffing thresholds.
AI Tool Spending Predictor
Multiple Linear Regression Model
- Built a Multiple Linear Regression model using Scikit-Learn achieving an R² of 0.93, with predictions accurate to within ~$11 on average across a 60-record dataset.
- Identified daily usage hours and number of subscriptions as the strongest spending predictors through correlation analysis and coefficient interpretation.
§
About
More than just
the code.
I'm a Computer Science student at Emilio Aguinaldo College (DEP Scholar) who builds real products for real people — not just school projects. Outside the terminal, I sing with the college chorale, represent CS students as JPCS rep, and make short-form videos that actually get watched.
I believe the best developers ship things, own the outcome, and keep it honest.
Certifications
Python for Data Science, AI & DevelopmentNov 2025Flutter & Dart: Developing iOS, Android, and Mobile AppsFeb 2026
Python for Data Science, AI & DevelopmentNov 2025Flutter & Dart: Developing iOS, Android, and Mobile AppsFeb 2026Currently● Available
§
Experience
Where I've shipped from.
TransWealth Fleet & Parking Management
Q1 2026
Data Analyst (Freelance)
Data Analysis · Capacity Modelling · Python · Excel · Remote
- Evaluated a 47.5% valet headcount reduction across a daily average of 302 cars.
- Built a capacity model showing the reduced team could handle 2.5× current daily demand — data-backed justification for the staffing cut.
- Identified an entrance/ticketing bottleneck and delivered a management review report with actionable surge staffing thresholds.
Eskwelabs
Oct 2025 – Dec 2025
Technology & Innovation (EIF) Intern
Python · Data Science · n8n Automation · Remote
- Built an n8n automation pipeline that cut manual content creation by 5+ hrs/week.
- Developed automation supporting thousands of learners across national bootcamp programs.
Team Fridays Marketplace
Jun 2025 – Mar 2026
Video Editor
Premiere · CapCut · Short-form · Remote
- 10+ short-form reels/month · 40% lift in post engagement.
- 100% on-time delivery across 3 platforms.
§
Stack
What I reach for.
Frontend
Next.jsReact 19TypeScriptTailwind CSS v4ViteRechartsHTML/CSSJavaScript
Mobile
FlutterDartRiverpodGo RouterFirebaseGoogle Maps SDK
Backend & Data
PythonFlaskSupabaseFirebaseSQLREST APIsPayMongoAI/MLData AnalysisCapacity Modelling
Tooling & Integrations
n8nOpenAI APIStrava APIMailchimp APIFigmaVercel
Creative
Video EditingShort-Form ContentProblem-Solving
Let's build
Got a project in mind? Let's build it.
Open to freelance work, internships, and collaborations. I reply fast.