Thomas Lee
@thomaslee7
Experienced Staff Software Engineer building scalable cloud-native full-stack applications.
What I'm looking for
I am a Staff Software Engineer with 11+ years of experience building cloud-native, full-stack systems across healthcare, fintech, eCommerce, and SaaS. I specialize in designing secure, high-performance applications using modern frontend and backend technologies.
At CVS Health I led delivery of AI-powered clinical documentation, virtual assistant chatbots, and workforce optimization platforms, engineering microservices with FastAPI, Java, TypeScript, and Node.js that integrated AWS Transcribe Medical and Comprehend Medical and processed over 50K sessions daily. I optimized data pipelines with Kafka and SQS to reduce latency by 40% and built responsive, WCAG 2.1-compliant UIs supporting over 2M monthly active users, cutting provider documentation time by 35%.
Previously at Square, I delivered scalable payment processing and fraud prevention systems, building high-performance APIs in Java and Go that processed 500K+ transactions per day with sub-150ms latency. I implemented real-time monitoring, optimized database performance, and reduced chargebacks by 17% while enabling merchant expansion to 30+ countries.
I mentor engineers, collaborate across product, clinical, and data science teams, and prioritize security and compliance (HIPAA/PCI) while driving measurable product and operational improvements. I am motivated to lead technical solutions that combine AI/ML, robust engineering, and strong user experiences.
Experience
Work history, roles, and key accomplishments
Staff Software Engineer
CVS Health
Jan 2018 - Present (7 years 7 months)
Led delivery of AI-powered clinical documentation, virtual assistant chatbots, and workforce optimization platforms, engineering microservices that processed over 50K sessions daily and reduced provider documentation time by 35%. Implemented HIPAA-compliant NLP pipelines and AWS-based microservices that cut AI decision latency by 40% and maintained 99.9% uptime.
Built high-performance payment APIs in Java and Go processing over 500K transactions/day with sub-150ms latency and implemented fraud detection pipelines that reduced chargebacks by 17%. Developed responsive merchant dashboards supporting 1.5M+ merchants and cut dashboard load times by 38%.
Education
Degrees, certifications, and relevant coursework
Florida State University
Bachelor of Science, Computer Science
2010 - 2014
Completed a Bachelor of Science in Computer Science at Florida State University from 2010 to 2014.
Tech stack
Software and tools used professionally
Apache Spark
Blockchain
D3.js
Chart.js
GitHub
GitLab
Bitbucket
Kubernetes
Jenkins
CircleCI
GitLab CI
NumPy
Pandas
dbt
DB
dat
MySQL
PostgreSQL
MongoDB
SQLite
MariaDB
Hadoop
Gmail
Node.js
Django
Laravel
Spring Boot
.NET Core
Next.js
.NET
ASP.NET Core
Tailwind CSS
Material-UI
Semantic UI
three.js
Databricks
Neo4j
OpenCV
Redis
Terraform
Jira
Vue.js
AngularJS
React Query
Webpack
JavaScript
Java
PHP
ASP.NET
F#
TensorFlow
PyTorch
NLTK
Kafka
FastAPI
ent
Datadog
ClickUp
GraphQL
Prisma
Socket.IO
Elasticsearch
AWS Lambda
Deepgram
Zustand
OAuth2
Twilio
WebRTC
uWSGI
NGINX
Gunicorn
IFTTT
Airflow
Toolkit
DeBounce
MobX
Luigi
CakePHP
SciPy
Hugging Face
Supabase
LangChain
Astro
LlamaIndex
ElevenLabs
Lit
Availability
Location
Authorized to work in
Job categories
Skills
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