JonathanWallace
Software engineer and B.S. Computer Science graduate (Cum Laude). I build technical solutions that make a real impact in people's lives — from NASA-funded Mars research to production apps with real users.
What drives me is the chance to make an impact — to design, implement, and ship solutions that change the way people live and work for the better.
I'm a software engineer who gravitates toward backend and full-stack work, with hands-on experience building and deploying production applications, cloud microservices, and data pipelines. I've helped develop features on a live product, contributed to a NASA-funded research pipeline, and led a hackathon team to first place.
I care about reliable, maintainable code, clear communication, and translating messy real-world requirements into systems that actually work in production.
Things I've built
& shipped.
Helped develop key features for a live relationship-coaching web app — the Mission & Vision generator, the Statement generator, and the backend system that synthesizes, processes, and formulates couples' reports. Currently building an admin panel that brings every back-office process into one place: triggering S3 & Lambda jobs and monitoring Lambda workflows and AWS operations end-to-end.
Built a modular Python pipeline turning Mars terrain (DTM) datasets into graph representations, applying A* pathfinding across classified surface regions. Presented findings at a conference.
On a six-person team, build Python ingestion & normalization pipelines that turn inconsistent hospital pricing files into validated, searchable data — with PR review, tests, and GitHub Actions.
A full-stack project-operations platform: developers create & manage software workspaces with repo, deployment, and metadata centralized in one dashboard. FastAPI + Postgres backend, React/TS frontend.
Built the Python backend that ingests job postings and surfaces high-demand technical skills by location, classifying roles across internship / entry / junior levels into percentage-based demand insights — a two-person project exploring how job-market data maps to in-demand skills.
A backend workflow chaining speech-to-text, LLM book identification, file parsing, and text-to-speech playback — retrieving 1,000+ texts at 95% transcription accuracy on Azure.
Shipped to the web.
A family business platform where I designed the AWS architecture and built the AI-powered assessment & certificate generation experience used by real customers.
Visit site ↗A web app deployed on Vercel — built and shipped end-to-end, from frontend interface to live deployment.
Visit site ↗A cloud platform making hospital pricing transparent. On a six-person team I build the Python ingestion & normalization pipelines that turn messy machine-readable files into validated, searchable data.
Visit site ↗The stack I reach for.
- Python
- Java
- JavaScript / TypeScript
- SQL
- C
- Racket
- FastAPI · Flask
- React
- Docker
- RESTful APIs
- CI/CD · GitHub Actions
- Git
- AWS — Lambda, S3, EC2, IAM
- Azure — App Services
- Azure — OpenAI & Speech
- Azure — Blob Storage
- PostgreSQL
- Neo4j
- MongoDB
- Linux
- Unit Testing — pytest, JUnit