William Tran
@williamtran
Experienced software engineer specializing in scalable solutions and mentorship.
What I'm looking for
As a seasoned software engineer with extensive experience in both startups and large enterprises, I specialize in designing, developing, and deploying scalable solutions leveraging AWS services. My proficiency in programming languages such as JavaScript, Java, Python, and Go allows me to build robust microservice architectures that enhance system efficiency and scalability. I am passionate about agile methodologies, consistently delivering high-quality software through iterative and collaborative processes.
At Amazon, I have developed advanced voice interaction features using Amazon Polly, enhancing user engagement and accessibility. My contributions include integrating neural TTS voices into applications and optimizing real-time voice feedback in high-traffic systems. I also have a strong background in backend development, having designed scalable services with Python and Django, and maintained RESTful APIs for seamless communication across services. My experience at Stripe further honed my skills in fraud detection and AI-powered solutions, where I led projects that significantly improved system efficiency and reduced fraud incidents.
Mentorship is a core aspect of my professional ethos; I take pride in guiding junior developers to achieve technical growth and improve overall team performance. I thrive in collaborative environments where I can contribute to innovative projects and drive impactful results.
Experience
Work history, roles, and key accomplishments
Senior Software Development Engineer (SDE III)
Amazon
Nov 2021 - Present (3 years 8 months)
Developed and integrated advanced voice interaction features using Amazon Polly for scalable and user-friendly applications. Optimized real-time voice feedback in high-traffic e-commerce and payment systems, enhancing user accessibility and engagement using Amazon Polly for instant speech synthesis.
Senior Software Engineer
Stripe
Aug 2015 - Oct 2021 (6 years 2 months)
Performed critical roles across Stripe Payments, Checkout, and the Dashboard, contributing to the successful launch of Stripe Terminal and enhancing Radar’s fraud detection engine efficiency by 25%. Created an AI-powered fraud analysis pipeline integrated with Stripe Radar, leveraging real-time heuristics and ML models to identify high-risk transactions.
Education
Degrees, certifications, and relevant coursework
The University of Texas at Austin
Bachelor's Degree of Computer Science, Computer Science
Studied computer science at the University of Texas at Austin, focusing on core principles and advanced topics. Gained a strong foundation in software development and system design.
Tech stack
Software and tools used professionally
OpenAPI
Sidekiq
D3.js
AWS IAM
Microsoft Azure
Google Cloud Platform
GitHub
GitLab
Bitbucket
Kubernetes
AWS CodePipeline
Jenkins
GitHub Actions
GitLab CI
NumPy
Pandas
MySQL
PostgreSQL
MongoDB
SQLite
MariaDB
ReadMe.io
Gmail
Node.js
Django
Spring Boot
Ruby on Rails
Next.js
NestJS
Spring MVC
Tailwind CSS
Material-UI
Vuetify
Neo4j
Redis
Terraform
AWS CloudFormation
styled-components
JavaScript
HTML5
Java
F#
Kafka
RabbitMQ
FastAPI
TypeORM
Prometheus
SQLAlchemy
Datadog
Apollo
GraphQL
Prisma
Socket.IO
gRPC
Elasticsearch
Spring Security
AWS Lambda
Serverless
vuex
RSpec
pytest
JUnit
React Testing Library
Amazon Polly
s3-lambda
SQL
Availability
Location
Authorized to work in
Job categories
Skills
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