Stefano San Esteban
Fullstack AI Engineer
About
I build AI systems and backend platforms that prioritize speed, reliability, and clear execution. My focus is reducing latency, removing bottlenecks, and making production flows predictable and reliable for users and teams.
I've worked across production AI features, AI tools, orchestration pipelines, AI automations, and user-facing applications where performance matters. I like solving the hard parts behind the interface so the experience stays fast, stable, and reliable.
Work Experience
My professional journey and contributions in the tech industry.
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Fullstack AI Engineer
Stealth Startup•Full-time•August 2025 - Present · 10 mos - P
Frontend Engineer/AI Developer
Prosperna•Internship•March 2025 - June 2025 · 4 mos
Education
My academic background and educational achievements.
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Bachelor of Science in Information Technology
Philippine State College of Aeronautics•2021 - 2025 - L
Legazpi City Science High School
2014 - 2020•Legazpi CitySenior High School – STEM Strand
2018 - 2020Junior High School
2014 - 2018
Skills
These are the languages and frameworks I've worked with
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
2024A 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.
Chat PDsteF
2024A 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.
Vibe Mark
2025A Next.js web application utilizing Gemini AI API Flash 2.0 for advanced image generation, implementing prompt chaining to refine logos across multiple stages.
Get There PH
2025Created 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.
Pawlish(Resume Builder)
2025Resume builder with an in-browser LaTeX editor, AI-assisted resume optimization, and a full-stack pipeline built with Next.js, FastAPI, PostgreSQL, and OpenAI, deployed on AWS Lambda with Docker and CI/CD.
Certifications
Professional certifications and courses I've completed to enhance my technical skills and knowledge.
Get in Touch
Want to chat? Just shoot me a direct email and I'll respond whenever I can. I will ignore all soliciting.