Kevin S Lin, Pricing Developer in Seattle, WA, United States
Kevin S Lin

Pricing Developer in Seattle, WA, United States

Member since February 28, 2019
Kevin has nearly a decade of experience provisioning and scaling services in the cloud. He's spent more than five years working at AWS delivering critical features to native AWS services. In that time, Kevin has also worked directly with customers of all sizes—from startups to Netflix—and helped them build scalable cloud-native solutions.
Kevin is now available for hire


  • Aptihealth
    Node.js, Serverless, Amazon Web Services (AWS)
  • Thence
    Amazon Web Services (AWS)
  • Valimail
    AWS RDS, Amazon Virtual Private Cloud (VPC), Python, Flask, Amazon Cognito



Seattle, WA, United States



Preferred Environment

Amazon Web Services (AWS), AWS, Linux, Git, Vim Text Editor

The most amazing...

...thing I've implemented is the scaling system that underlied load balancers on AWS which resulted in a +500% speedup.


  • Consultant

    2019 - PRESENT
    • Advised on the builds of HIPAA-compliant AWS architecture.
    • Built out CI/CD pipeline on AWS.
    • Established developer best practices on AWS.
    • Advised on building the serverless back end.
    • Consulted on security best practices and IAM policies.
    • Gave advices on governance.
    Technologies: Node.js, Serverless, Amazon Web Services (AWS)
  • Fouder

    2018 - PRESENT
    • Drastically reduced AWS bills.
    • Handled serverless deployments.
    • Ensured HIPAA compliance on AWS.
    • Implemented DevOps best practices.
    • Scaled AWS workloads.
    Technologies: Amazon Web Services (AWS)
  • Consultant

    2019 - 2019
    • Implemented SSO via Cognito and G Suite.
    • Automated the scheduling of regular batch data transfer jobs.
    • Create new development processes and tools to help developers work faster.
    • Implement automation centered around gathering and reporting analytics.
    • Setup and debugged various VPC and security group-related issues.
    Technologies: AWS RDS, Amazon Virtual Private Cloud (VPC), Python, Flask, Amazon Cognito
  • Senior Software Developer

    2016 - 2018
    Amazon Web Services (AWS)
    • Designed and prototyped various end-to-end WebRTC-based multimedia experiences.
    • Implemented global multitenant platform to manage Amazon's ideas portfolio.
    • Built, ran, and evaluated Amazon's global ideas competition.
    • Helped evaluate submissions to Amazon Catalyst, a program that provides mentorship, community, and up to $100,000 in funding for qualifying projects.
    • Filed multiple patents on novel multimodal user-to-user interactions.
    Technologies: WebRTC, React, Serverless, Ruby, Amazon Web Services (AWS)
  • Senior Software Developer

    2016 - 2016
    • Led a skunkworks Alexa project from idea to a successful prototype and demo to the senior leadership.
    • Worked, patented, and pitched with a teammate an initial concept of what would become "Alexa Skill Blueprints" to the senior leadership.
    • Designed and built out the initial back end of the new Alexa Developer Portal.
    Technologies: AWS DynamoDB, AWS Lambda, Node.js, React, Amazon Alexa
  • Senior Software Developer

    2016 - 2016
    Amazon Web Services (AWS)
    • Developed the version 1 machine learning (ML) pipeline for Amazon Comprehend Medical.
    • Built out end-to-end prototypes for various Flask-based web applications.
    • Constructed end-to-end prototypes for various real-time mobile applications.
    Technologies: WebSockets, TensorFlow, React, Apache Spark, Node.js, Amazon Web Services (AWS)
  • Software Engineer

    2013 - 2016
    Amazon Web Services (AWS)
    • Scaled an ELB monitoring system which manages the health of millions of EC2 instances in real time.
    • Implemented an ELB scaling agent which reduced scaling latency from the order of minutes to seconds.
    • Designed and implemented ELB preemptive scaling which predicted future scaling based on past customer actions.
    • Created and benchmarked LCU, a new system metric derived from a combination of different system resources that represented a load-balancer load (now a public metric in ALB).
    • Designed and led teams to create and manage custom private ELB APIs for select partners.
    Technologies: AWS DynamoDB, Java, Git, Ruby, Amazon Web Services (AWS)


  • Load Balancer Capacity Unit (LCU) (Development)

    LCU is a metric that reflects the work done by a load balancer running in AWS. Traditionally, load balancers were only measured on network traffic, but this didn't reveal the actual performance bottlenecks on load balancers, especially when they needed to support features such as SSL offloading and WebSockets.

    The LCU metric takes into account network, packets per seconds, active connections, and other factors to give a more accurate picture of how much work the load balancer is doing. It is now a public metric on AWS, and also the metric used when calculating the bill for load balancers on AWS.


  • Tools

    Amazon Cognito, AWS CodeDeploy, AWS IAM, Amazon Virtual Private Cloud (VPC), AWS CloudFormation, AWS CloudWatch, Amazon CloudFront CDN, AWS CodeBuild, Amazon Transcribe, Amazon SQS, AWS Push Notification Service (AWS SNS), Amazon SES, Vim Text Editor, Git, AWS Athena, AWS Step Functions
  • Paradigms

    DevOps, HIPAA Compliance, Continuous Deployment, Continuous Integration (CI), Agile
  • Platforms

    AWS Lambda, AWS Elastic Beanstalk, AWS EC2, Linux, Amazon Web Services (AWS), Amazon Alexa
  • Storage

    AWS S3, AWS DynamoDB, AWS RDS, MySQL, Elasticsearch, NoSQL
  • Other

    Elastic Load Balancers, Pricing, AWS CodePipeline, AWS Certificate Manager, Serverless, Autoscaling, API Gateways, Amazon Route 53, AWS, WebSockets
  • Languages

    Python, JavaScript, Ruby, SQL, Java, Bash
  • Libraries/APIs

    Node.js, AWS Amplify, React, TensorFlow, WebRTC
  • Frameworks

    Apache Spark, Flask, Django, Express.js, Ruby on Rails (RoR)


  • Bachelor of Science (BSc) degree in Computer Science
    2009 - 2013
    Rice University - Houston, TX, USA

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