Stevil Lee
@stevillee
Senior AI full‑stack engineer building scalable, production-ready web and AI systems.
What I'm looking for
I am a Senior Full Stack Engineer with 10 years of experience building scalable, AI-powered web applications using React, Next.js, Node.js, FastAPI, and Django. I have delivered high-impact systems across healthcare, finance, energy, retail, and legal tech—engineering solutions like Pfizer’s AI Health Assistant, migrating monoliths to microfrontends, and reducing infrastructure costs while improving performance.
I focus on reliable, secure, and performant architectures—designing HIPAA- and SOC2-compliant systems, real-time data pipelines, and serverless event-driven platforms. I mentor engineers, drive CI/CD and testing standards, and integrate ML/LLM workflows to translate models into user-facing, production-quality features.
Experience
Work history, roles, and key accomplishments
Senior AI Fullstack Engineer
Work & Co
Aug 2022 - Jan 2025 (2 years 5 months)
Built and scaled AI-powered health and retail platforms using Next.js, React, Node.js, FastAPI and Django serving tens of thousands of users daily with sub-second response times; engineered Pfizer's AI Health Assistant integrating OpenAI and LangChain for real-time insights.
Lead Developer
Raisa Energy LLC
Jan 2020 - Jun 2022 (2 years 5 months)
Migrated legacy apps to React/Next.js/TypeScript and modernized financial analytics, engineered AI-powered finance modules and real-time energy data pipelines increasing refresh frequency to every 15 seconds and reducing tool latency by 30%.
Designed and built HIPAA-compliant React front-ends and Django backends for real-time health data analytics, created ETL workflows and optimized distributed systems for scalable patient data management.
Full Stack Engineer
Trust & Will
Oct 2016 - Mar 2018 (1 year 5 months)
Developed estate planning apps enabling online will/trust creation for ~50,000 users, built WCAG-compliant UIs and secure RESTful APIs with Node.js/TypeScript and PostgreSQL, and automated workflows with AWS Lambda to cut manual steps 60%.
Contributed to React-based classroom engagement platform, optimized interactive features and AJAX calls to reduce page reloads by 80% and improved data retrieval via MySQL query tuning.
Education
Degrees, certifications, and relevant coursework
The University of Texas at Austin
Bachelor of Science, Computer Science
2010 - 2014
Completed a Bachelor's degree in Computer Science with coursework and projects focused on web development and systems engineering.
Tech stack
Software and tools used professionally
Google Tag Manager
Postman
OpenAPI
Amazon API Gateway
IBM API Connect
D3.js
Chart.js
Amazon EC2
Amazon S3
GitHub
Kubernetes
Azure Kubernetes Service
GitHub Actions
Electron
MySQL
PostgreSQL
MongoDB
Microsoft SQL Server
HelloSign
Node.js
Django
Ruby on Rails
Next.js
Tailwind CSS
three.js
Google Analytics
Redis
Angular 2
React
Vue.js
WebGL
Solid.js
Vanilla.JS
JavaScript
Python
HTML5
Java
ES6
CSS 3
AWS Elastic Load Balancing ...
Mapbox
Kafka
RabbitMQ
Celery
Django REST framework
FastAPI
Cloud Firestore
SQLAlchemy
GraphQL
gRPC
WordPress
Strapi
AWS Lambda
Serverless
Google Cloud SQL
Zustand
vuex
Vercel
Kafka Streams
TypeScript
Docker
Twilio
Zapier
GraphQL Ruby
Django REST framework JWT
Google BigQuery
Amazon Web Services (AWS)
SQL
Google Kubernetes Engine
LangChain
NextUI
Vite
N8N
Transform
LangGraph
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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