William Tran
@williamtran2
Senior software engineer building AWS cloud-native systems for neural text-to-speech and reliable CI/CD.
United StatesWhat I'm looking for
I’m a Senior Software Engineer with 8 years of experience designing distributed systems and cloud-native platforms on AWS. I specialize in developing neural text-to-speech systems and speech synthesis devices powered by Amazon Polly, and I build the CI/CD infrastructure that keeps large-scale engineering systems moving.
At Amazon (Senior SDE L6), I architected backend services with AWS Lambda, AWS S3, AWS EC2, and API Gateway to ensure availability, fault tolerance, and scalability across regions. I’ve built event-driven systems using AWS EventBridge with AWS SQS, SNS, and AWS Step Functions to handle high-volume voice generation requests, and I’ve optimized Polly’s workflows to reduce latency using AWS ElastiCache and streaming-friendly designs.
I also focus on the full AI-to-production pipeline: I built automation pipelines with AWS CodePipeline, AWS CodeBuild, and AWS CloudFormation while integrating AI model outputs from TensorFlow and PyTorch to deploy new voices and language support. I fine-tune neural vocoder models, evaluate quality with SageMaker, and create operational tooling using React.js, Redux, and AWS AppSync so engineers get actionable insights into system health.
Experience
Work history, roles, and key accomplishments
Architected and optimized backend voice synthesis services using AWS Lambda, S3, EC2, and API Gateway, including event-driven pipelines with EventBridge, SQS, SNS, and Step Functions. Built AI-enabled deployment automation with CodePipeline/CodeBuild/CloudFormation and evaluated neural speech quality using SageMaker, while improving real-time latency via ElastiCache caching and operational tooling
Improved Amazon Polly reliability and service availability using Auto Scaling, EC2, and RDS, and implemented monitoring/traceability with CloudWatch, X-Ray, and CloudTrail. Optimized SynthesizeSpeech API latency with CloudFront and Aurora, and supported multilingual voice integration using AWS Translate and AWS Lex while contributing to AWS Console features with AWS SDK for JavaScript, Next.js, an
Contributed to AWS CodePipeline by designing automated CI/CD workflows using CodeBuild, CodeDeploy, and CodeCommit, supported by CloudFormation for scalable deployments. Developed backend components with Node.js and Python, helped integrate automated testing with AWS Device Farm and Appium, and supported AWS Console UI features using Angular.js for managing Polly text-to-speech.
Education
Degrees, certifications, and relevant coursework
University of California San Diego
Bachelor's Degree in Computer Science, Computer Science
2015 - 2018
Earned a Bachelor’s degree in Computer Science at the University of California San Diego from 2015 to 2018.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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