Paul Wong
@paulwong1
Senior software engineer specializing in scalable, AI-driven solutions.
What I'm looking for
As a Senior Software Engineer at Amazon, I have been instrumental in architecting and delivering innovative, HIPAA-compliant, AI-powered prescription fulfillment systems. My work has significantly improved user experiences and operational efficiency, scaling to support millions of users across all 50 states. I thrive in cross-functional teams, collaborating closely with product managers and engineers to refine technical requirements and ensure high-quality software delivery.
My technical expertise spans a wide range of languages and frameworks, including Node.js, Python, and React. I have successfully implemented generative AI solutions that reduced prescription processing times by 50% and improved support resolution by 30%. My commitment to agile methodologies and rigorous code reviews has fostered a culture of excellence within my teams, mentoring junior engineers and driving best practices in software development.
Prior to Amazon, I contributed to the modernization of telehealth services at Teladoc Health, migrating legacy systems to a microservices architecture that enhanced scalability and performance. My passion for technology and continuous learning drives me to stay at the forefront of industry trends, ensuring that I deliver innovative solutions that meet the evolving needs of users and businesses alike.
Experience
Work history, roles, and key accomplishments
Senior Software Engineer
Amazon
May 2020 - Present (5 years 2 months)
Collaborated with cross-functional teams at Amazon Pharmacy to architect and deliver end-to-end, HIPAA-compliant, AI-powered prescription fulfillment systems. Spearheaded the implementation of generative AI solutions, leveraging Python, Amazon Bedrock, SageMaker, Comprehend Medical, and RAG pipelines to automate clinical data processing and optimize medication pricing.
Software Engineer
Teladoc Health
Oct 2014 - Present (10 years 9 months)
Contributed to migration of legacy telehealth services from a monolithic Ruby on Rails platform to a modern Go Gin-based microservices architecture, significantly reducing response latency by over 30%. Developed end-to-end video consultation features using WebRTC and secure SIP/WebSocket signaling protocols, integrated with EHR systems (Cerner, Epic) via HL7/FHIR interfaces.
Education
Degrees, certifications, and relevant coursework
Georgia State University
Bachelor of Computer Science, Computer Science
Studied computer science at Georgia State University, focusing on core principles and advanced topics. Gained foundational knowledge and practical skills in various areas of computer science.
Tech stack
Software and tools used professionally
D3.js
Microsoft Azure
Google Cloud Platform
DigitalOcean
GitHub
GitLab
Kubernetes
Amazon EKS
Cloudflare
Akamai
AWS CodePipeline
Jenkins
CircleCI
GitHub Actions
Jenkins X
GitLab CI
DB
MySQL
PostgreSQL
MongoDB
SQLite
MariaDB
Cassandra
CouchDB
Gmail
Node.js
Django
Laravel
Spring Boot
Ruby on Rails
Next.js
Tailwind CSS
Material-UI
three.js
Google Analytics
Figma
Redis
Terraform
AWS CloudFormation
Jira
Vue.js
AngularJS
JavaScript
Java
PHP
F#
Google Maps
Kafka
RabbitMQ
FastAPI
Grafana
Prometheus
Linux
Datadog
GraphQL
Prisma
Firebase
gRPC
Elasticsearch
Vercel
JUnit
WebRTC
uWSGI
NGINX
LiteSpeed
SQL
Availability
Location
Authorized to work in
Job categories
Skills
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