currently learning: fastAPI

Stefano San Esteban

Software Engineer

Prev Frontend Engineer Intern/AI Developer @ Prosperna

Student @Philippine State College of Aeronautics

Parañaque City, Metro Manila

+63 9086431389

stefanosanesteban1018@gmail.com

ygfest

Contact Me Resume

About

I graduated with a Bachelor's degree in Information Technology from the Philippine State College of Aeronautics. I've been passionate about creating exceptional user experiences through modern web technologies. My journey in tech has been driven by curiosity and a commitment to continuous learning.

I've had the opportunity to be part of Prosperna's Engineering Team and AI Hackernest, an intensive AI research and development initiative where I researched, prototyped, and developed AI features to enhance the merchant experience using cutting-edge technologies such as OpenAI's GPT models and xAI's Grok. I also have experience with frontend development using React.js, Next.js, in a micro-frontend architecture.

When I'm not coding, I enjoy exploring new technologies, working on personal projects and deepening my understanding of Artificial Intelligence. I'm particularly interested in the intersection of AI and web development, always looking for ways to create more intelligent and impactful applications.

Work Experience

My professional journey and contributions in the tech industry.

Full Stack Engineer

Stealth Startup•Full-time•August 2025 - Present · 7 mos

Frontend Engineer/AI Developer

Prosperna•Internship•March 2025 - June 2025 · 4 mos

Education

My academic background and educational achievements.

Bachelor of Science in Information Technology

Philippine State College of Aeronautics•2021 - 2025

Legazpi City Science High School

2014 - 2020•Legazpi City

Senior High School – STEM Strand

2018 - 2020

Junior High School

2014 - 2018

Skills

These are the languages and frameworks I've worked with

React

Next.js

TypeScript

JavaScript

Node.js

Express

Python

FastAPI

Java

TailwindCSS

Bootstrap

GitLab

Jest

MongoDB

MySQL

PostgreSQL

Firebase

AWS

Git

GitHub

Docker

VS Code

Figma

My Projects

Check out my latest work

I've worked on a variety of projects, from simple websites to complex web applications. Here are a few of my favorites.

SecureTrack: Luggage Tracking System

2024

A comprehensive luggage tracking and monitoring system built with MERN Stack, MongoDB, Express.js, React, Node.js, and RESTful APIs, integrating React-Leaflet, Stadia Maps, and Arduino Uno for real-time tracking.

JavaScript

Node.js

MongoDB

Express

React

RESTful APIs

Firebase

React-Leaflet

Stadia Maps

TailwindCSS

Website Source

Chat PDsteF

2024

A RAG (Retrieval-Augmented Generation) application built with Next.js and OpenAI's GPT-4.1, enabling users to interact conversationally with PDF documents through intelligent document retrieval and AI-powered responses. Deployed on AWS Amplify for scalable and serverless hosting.

TypeScript

NextJS

React

OpenAI API

GPT 4.1

OpenAI embeddings

MongoDB

Prisma

REST APIs

AWS Amplify

Website Source

Vibe Mark

2025

A Next.js web application utilizing Gemini AI API Flash 2.0 for advanced image generation, implementing prompt chaining to refine logos across multiple stages.

TypeScript

NextJS

React

Gemini Flash 2.0-image generation

Stripe

PostgreSQL

Neon

Website

Nutrition by Krisha

2025

AI nutrition platform with RAG knowledge base (LangChain + Pinecone, OpenAI/Gemini embeddings) and a core appointment booking system.

TypeScript

Next.js

Python

FastAPI

RAG

LangChain

Pinecone

OpenAI

Gemini 2.0 Flash

Vector Embeddings

Supabase

Google API

Website Source

Get There PH(in progress)

2025

Created a Next.js app that allows users to navigate Metro Manila seamlessly using community-sourced data and AI. The app is built with Next.js, TailwindCSS, Supabase, Mapbox, Maptiler, and OpenAI gpt 4.1.

TypeScript

NextJS

React

GitLab

Supabase

Mapbox

Maptiler

OpenAI gpt 4.1

Website

Pawlish(Resume Builder)

2025

Created an app that allows users to create and Pawlish their resume for optimized and standard format. Built with Next.js(React), FastAPI(Python), TailwindCSS, PostgreSQL, OpenAI. Deployed in AWS Lambda with CI/CD pipeline.

Python

FastAPI

TypeScript

NextJS(React)

TailwindCSS

PostgreSQL

AWS Lambda

Docker

GitHub Actions

AWS ECR

OpenAI

Website