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2025
AdrianAdrian
AngeloAngelo
AbelardeAbelarde
Magna Cum Laude — BSCS

Full-stack & AI Engineer turning complex problems into elegant solutions.

ResumeResumeContact MeContact Me
AI Engineering
Full Stack Development
React Native
Next.js
Elixir
Machine Learning
System Architecture
UI/UX Design
AI Engineering
Full Stack Development
React Native
Next.js
Elixir
Machine Learning
System Architecture
UI/UX Design
AI Engineering
Full Stack Development
React Native
Next.js
Elixir
Machine Learning
System Architecture
UI/UX Design
AI Engineering
Full Stack Development
React Native
Next.js
Elixir
Machine Learning
System Architecture
UI/UX Design
(SELECTED_WORK)

Selected
Projects.

01 — 2024 — Present

Fanatics

Next.jsElixirGoOpenAI

Crafting live commerce magic with AI. Built 'Hunter AI' for context-aware chat engagement and automated highlight generation systems.

02 — 2024

Codeswipe AI

Next.js 15SupabaseGeminiMobile First

Tinder for Pull Requests. A mobile-first code review platform with swipe gestures and AI-powered feedback.

03 — 2024

Heri AI

FastAPIReactStreaming AI

Fertility coaching AI with a warm personality. Built with streaming responses and a calming, supportive UI.

04 — 2023

Constflow

Vector SearchReal-timeSaaS

Project management for civil engineering. Integrated OpenAI for real-time risk insights and recommendation systems.

05 — 2024

RenewMe

Motion GraphicsSEONext.js

High-performance wellness platform. Migrated from Wix to Next.js, improving SEO and load times significantly.

Recognition

Honors and awards received for technical excellence, innovation, and academic performance.

2023

1st Place - Diliman Solutions Challenge

UP Diliman / Google DSC

2023

1st Place - Enhack Hackathon

Enstack / Matrix Co.

2023

1st Place - DICT Startup Challenge

DICT Region 4A

2024

Magna Cum Laude

Pamantasan ng Lungsod ng Maynila

Academic Research

ED673104

Role

Co-Author / Researcher

Context

Thesis / Research Paper

Optimizing Faculty Workload via Distributed Genetic Algorithms

Proposed a Differential Evolution Genetic Algorithm (DGA) with chaotic mapping and asynchronous communication to optimize complex scheduling problems, surpassing classic GA efficiency.

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