Platform engineering
across the stack.
Full-stack engineer specializing in platform and cloud. Currently leading a Next.js + AWS rebuild at Wesley Financial Group, projected $160K+ in annual platform savings. Stack: TypeScript, AWS, Next.js, NestJS, FastAPI. Open to platform, infrastructure, and full-stack roles. Full-time or contract.
Two roles. Both
shipped end to end.
Currently leading a Next.js + AWS platform rebuild at Wesley Financial. 20,000+ peak users, projected $160K+ annual savings. Before that: wildfire telemetry pipelines for a NASA-Ames drone trajectory planner on KBR contract.
Software Engineer, Platform
- / 01Led re-architecture of client platform supporting 20,000+ peak users. Replaced Titan vendor portal with custom Next.js + AWS + Vercel system. Projected $160K+ annual savings.
- / 02Migrated authentication from Better Auth to AWS Cognito Hosted UI (Authorization Code + PKCE).
- / 03Designed three-AWS-account environment isolation (dev / staging / production) with Vercel and AWS OIDC federation. Removed static credentials from runtime.
- / 04Built async document processing pipeline (Textract OCR with handwriting, Comprehend PII detection, pdf-lib redaction, Salesforce ContentVersion upload). Reduced manual case-management time 80%+, saving hundreds of hours per month across the client base. Validated against a 333-document real-client corpus.
- / 05Built internal IT-support dashboard for first-line triage of portal issues before engineering escalation.
- / 06Authored operations runbook with a 99.5% availability SLA, sub-5min MTTD, and sub-4hr MTTR targets.
Technical Intern, Software Engineering
- / 01Wrote a microservice that pulled wildfire telemetry (wind, hotspots, terrain) and served it via API to the trajectory planner.
- / 02Built 2D visualizations with Plots.jl and 3D visualizations with CesiumJS to accelerate analysis and understanding.
- / 03Shipped against NASA-aligned guidelines: code reviews, automated tests, and full documentation.
Six projects.
All shipped.
Health-tech mostly. Five hackathon wins. One paying SaaS at cliniq.care. Each built end to end. Architecture, infra, UX.
Billing.
Patient Billing Helper
A patient-facing helper that explains medical bills in plain language. OCRs the bill, parses line items against payer data, and answers "why am I being charged this?" before patients have to call the office.
RAG.
Clinical RAG Assistant
A retrieval-augmented assistant that chat-searches patient charts and visit notes so clinicians can pull what they need without scrolling through EHR tabs. Demoed live to a hospital-systems audience.
Caller.
AI Patient Check-in Caller
An AI agent that handles patient check-in calls end-to-end: collects intake answers, confirms appointments, and writes back to the chart. Real telephony, real conversation, no chatbot screen.
EchoURL.
EchoURL
A fast, no-account link tool. Built it to learn how the boring parts (caching, abuse prevention, analytics) hold up under real traffic. Existing options were bloated or sketchy.
Astral.
Astral Chat
A lightweight real-time messaging app with authenticated chat, delivery markers, and a mobile-ready UI. Built around WebSocket gateways and a NestJS backend with React Native on top.
The stack
I ship in.
Deepest in TypeScript, AWS, and Next.js. Comfortable everywhere else. New tools picked up fast when work demands it.
- TypeScript
- JavaScript
- Python
- SQL
- Scala
- Next.js
- React
- Tailwind CSS
- TanStack Query
- Zustand
- Node.js
- NestJS
- FastAPI
- PostgreSQL
- Drizzle ORM
- Lambda
- RDS
- S3
- SQS
- SNS
- Cognito
- IAM
- Secrets Manager
- Textract
- Comprehend
- SES
- CloudWatch
- SST
- SOQL
- jsforce
- ContentVersion
- Connected Apps
- Git
- GitHub Actions
- Biome
- Bun
- Docker
- OpenAI API
- Twilio
Five wins.
All shipped in 36 hours.
Hackathon record: 5 placed, mostly health-tech. Real demos, not slide decks.
Patient billing helper using Next.js, Azure OCR, and Python. Streamlined billing questions and reduced back and forth between patients and staff.
RAG assistant that chat-searches patient data and visit notes to speed up clinical documentation workflows.
Cliniq: medication-safety platform using Azure OCR and OpenAI to surface drug-interaction risks in seconds.
AI patient check-in caller using Twilio, Azure Speech Recognition, Azure Text-to-Speech, and OpenAI orchestrating a real phone conversation.
Lightweight AI patient check-in caller. The earliest cut of the system that later won Hacker's Choice at HackMT 2025.
Education &
engagements.
Studied where business meets systems. Outside paid work, ongoing volunteer build for a nonprofit.
Bachelor of Business Administration
Information Systems & Analytics
Middle Tennessee State UniversityThe fork between business and engineering. Useful when you're the engineer translating between operations leadership and the codebase.
Ongoing volunteer
software work
Details on requestI keep a long-running side commitment building and maintaining web infrastructure for a nonprofit. Happy to walk through the work in conversation.
Hiring, or
want to chat?
Drop a note. Mention the role and the timeline. Reply within a day.
Let's talk shop.
Open to platform, infrastructure, and full-stack roles. Full-time, contract, or 20-min intro.whichever's quickest.