Tarun A
Applied Science Manager at Amazon
Greater Seattle Area United States
Summary
🤩
Rockstar🎓
Top SchoolTarun A is an Applied Science Manager at Amazon with 15+ years building NLP, ML, and large-scale systems that improve search, voice, and conversational experiences for millions of users. He leads the Global Search Quality team, combining research-grade modeling (multiple Amazon Science publications) with production engineering to deliver measurable gains in product discovery. Previously he led Zillow’s Core NLP and Conversational AI efforts and shipped guided search and chatbot features for real-estate workflows. Early work includes helping build AWS’s first ML service and Amazon’s first customer service chatbot, plus contributions to prominent open-source projects like the AWS SAM and SAM CLI where he improved backend authorizers, feature toggles, CI-driven test flows, and event handling. A holder of degrees from IIT Madras and Texas A&M, he pairs deep technical rigor and patent-backed innovation with a pragmatic focus on low-latency, deployable solutions. Outside work he studies psychology and entrepreneurship, interests that inform his product-centered approach to NLP.
15 years of coding experience
13 years of employment as a software developer
Indian Institute of Technology MadrasMS Electrical Engineering, MS Electrical Engineering at Texas A&M University
Github Skills (23)
docker10
pytest10
python10
dockers10
cicd10
aws-sam10
aws10
api-gateway10
serverless10
testing9
feature-toggle9
eventhub9
toggle9
aws-eventbridge9
eventbus9
Programming languages (8)
Github contributions (5)
aws/serverless-application-model
Jul 2020 - Nov 2021
The AWS Serverless Application Model (AWS SAM) transform is a AWS CloudFormation macro that transforms SAM templates into CloudFormation templates.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 release, 51 reviews, 7 commits in 1 year 3 months
Contributions summary:Tarun primarily contributed to the backend logic of the AWS Serverless Application Model (SAM) project. Their work involved enhancing API Gateway authorizers, including adding authorization scope validation and associated tests. They also implemented feature toggles by creating configuration providers and logic for enabling features based on stage and region, demonstrating knowledge of backend design patterns and configuration management. Further contributions include supporting metric publishing and adding support for passing target IDs to EventBridgeRule, indicative of improvements in event handling and API functionalities.
aws-cloudformationaws-serverless-application-modelserverless-application-modelserverless-applicationsaws-serverless
aws/aws-sam-cli
Nov 2019 - Nov 2021
CLI tool to build, test, debug, and deploy Serverless applications using AWS SAM
Role in this project:Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:2 releases, 102 reviews, 75 commits in 1 year 11 months
Contributions summary:Tarun primarily contributed to the AWS SAM CLI tool by fixing bugs related to containerized Lambda functions and test configurations. They addressed issues with stack traces in Lambda containers and the integration tests. Additionally, the user implemented changes related to test execution based on CI/CD pipelines, Canary testing, and Python versioning. Furthermore, the user made various updates to the build and deploy processes by incorporating better logging, and addressing permissions for config directory creation.
api-gatewayclipythonserverless-applicationsserverless
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