Noahie Encarnacion
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Software Engineer at Southwest Airlines. I build applications that think, drink too much coffee, and always welcome food recommendations.
About Me
From research papers to production software.
My Journey
I started out in research where I learned to think critically about hard problems. A few papers in, I realized I'd rather build things to solve problems than write about them. That ended up taking me back to school for a computer science degree at Oregon State.
Today I'm a Software Engineer at Southwest Airlines where I've gotten to do a bit of everything. I led a 4-engineer team building the event-driven platform that powers notifications for ~90K employees and contractors, helped build the FAA-mandated emergency response platform, built an AI dev platform my team uses daily, and won first place at Southwest's 2024 hackathon for an AI travel planner I built the backend for.
I landed in full-stack engineering because I like owning the whole application and understanding how it all works, from the backend to the pixels on screen. After diving into AWS, I'm now excited about AI/ML and the potential it has. Excited enough that I'm back in school for it, working through my M.S. in computer science at Georgia Tech.
4
Certifications
3+
Years Experience
4
Projects Built
2
Hackathon Wins
Technical Skills
The tools I build with.
Frontend
Backend
Cloud & DevOps
AI & ML
Certifications
AWS certified from architecture to machine learning.
AWS Machine Learning Engineer - Associate
Amazon Web Services
Training, deploying, and monitoring ML models in production.
AWS Solutions Architect - Associate
Amazon Web Services
Designing resilient, cost-efficient distributed systems.
AWS Developer - Associate
Amazon Web Services
Building, shipping, and debugging cloud applications.
AWS AI Practitioner
Amazon Web Services
The fundamentals of AI and ML services and how to apply them.
Projects
Everything here is live. Feel free to explore them.
CreditChecker
A multi-agent LangGraph platform that predicts a user's credit approval and explains every decision. It scores each profile with a calibrated XGBoost model, turns the score into approval odds, and uses LangChain agents to give a RAG-based, cited explanation audited by three judges.
AI Dev Studio
An AI-powered platform that takes user ideas from concept to deployed website, no code required. It uses a Claude agent on Bedrock to generate a modern UI, supports iterative edits with a real-time preview, and publishes in one click.
US Asthma Risk
An interactive ML dashboard that maps asthma risk across US counties. It classifies each county as Low, Medium, or High risk with a scikit-learn ensemble and simulates 10–50% pollutant and smoking reductions with instant map updates.
AI Stock Analytics
An application that turns company financial data into AI-powered investment insights. It fetches and processes live market data through asynchronous workflows, caches the response, and delivers the analysis in a modern React dashboard.