FULL STACK SOFTWARE ENGINEER

From zero to
working software.

I’m Eduardo Escamilla. I build web and mobile products with React, Next.js, React Native, Node.js and Python, and I’m particularly comfortable with greenfield development. My background also includes mathematics, quantitative modeling and machine learning.

Eduardo Escamilla
Eduardo EscamillaMonterrey, Mexico
01Greenfield developmentIdea or design → production
02Production engineeringWeb · mobile · backend · cloud
03Quantitative backgroundMathematics · modeling · ML
04Recent AI workLLMs · automation · structured outputs

SELECTED WORK

Work that shows how I approach problems.

01 / FLAGSHIP

FORMAL LOGIC · STEM

ProofGym

A browser-based environment for constructing Fitch-style formal proofs and practicing quantitative STEM problems.

1   P → Q2   P3   Q    →E 1,2   ✓⊢

THE PROBLEM

A proof trainer has to evaluate the reasoning process, not only compare a final answer with a stored solution. Steps depend on earlier lines, inference rules and proof scope.

WHAT I BUILT

Step-by-step proof construction and validation, progressive exercises, custom practice, completion tracking, achievements and a broader STEM problem-solving arena.

WHY IT MATTERS

It shows the kind of greenfield software I enjoy: an interface sitting on top of rules, state and a problem that cannot be reduced to a static form.

expression→rule→references→validation→feedback
02 / PRODUCTION

REACT NATIVE · GEOLOCATION · AWS

GPS → geographic region

A production mobile feature that classified a user’s GPS position into configured geographic zones represented by KML polygons.

GPS
lat / lon
→
KML
polygons
→
point in
polygon
→
matched
zone

CONTEXT

Part of my work on a production React Native application, React administrative system and AWS-backed services.

ENGINEERING

The feature connected device geolocation with KML polygon data so the application could determine which configured zone contained a coordinate.

03 / EXPERIMENT

COGNITION · INTERACTION · TIMING

KickboxWM

An experimental application combining configurable dual N-back working-memory tasks with movement and timed HIIT sessions.

movement← independent stream →
visual memory← independent stream →
N−BACKtiming · audio cues · work/rest · session state

ENGINEERING RANGE

React ecosystemReact · Next.js · React Native · responsive interfaces
Backend & dataNode.js · Express · Python · SQL · Supabase
Cloud & deploymentAWS · GCP · Azure · Vercel · Docker · Linux
ML & LLM workPython · machine learning · Gemini · Claude · n8n

EXPERIENCE

Software shipped in professional environments.

A condensed history. Download the CV for the full version.

Download CV ↓

Q Bridge AI

Full Stack Software Developer / Head of Solutions

Full-stack applications and dashboards with React, Next.js, Node.js, Express, Python, SQL and Supabase. LLM workflow prototypes with n8n, Gemini and Claude. Application deployment and troubleshooting across AWS, Google Cloud, Docker and Vercel.

Avant Santé

Full Stack Software Developer

Developed web applications across front end, back end, databases and API integrations using React, Python, Node.js and SQL.

The Blue People

Full Stack Software Developer

Production React Native mobile applications, React administration tools and serverless systems using AWS and Azure. Work included authentication, real-time messaging, media, geolocation and analytics.

Independent

Software Developer & STEM Tutor

Custom .NET solutions and mentoring in mathematics, physics, programming and mathematical modeling.

Interfactura Grupo GDX

Software Developer

Python/data work, web development, CRUD applications, Linux, Docker and Git.

KXK Global

Financial Modeling

Quantitative risk models and stochastic simulations in R for financial and project risk.

University of Texas–Pan American

Game Theory Research Assistant

Worked with game-theoretic models related to seller competition, auctions and mechanism design.

TEAM / HACKATHON EXPERIENCE

CodeLaunch Houston 2022

I participated at CodeLaunch Houston 2022 as part of The Blue People development team, working in a fast-paced collaborative product environment.

BACKGROUND

A quantitative thread behind the software.

Before most of my professional software work, I studied mathematics and worked on game theory and quantitative modeling. That background still influences how I approach software, machine learning and problem solving.

2008–2009Game Theory Research

University of Texas–Pan American · seller competition and mechanism design.

2013–2014Quantitative Modeling

Stochastic simulation and quantitative risk modeling in R.

2003Mexican Mathematical Olympiad

Silver Medal.

2004Regional Mathematical Olympiad · Nuevo León

1st Place Overall.

CONTACT

Looking for someone who can build from the beginning?

eduardo.escamillasal@gmail.com