Angela Wang
Software Engineer at Two Sigma
New York, New York, United States
Summary
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RockstarAngela Wang is a software engineer with nine years of experience, currently building systems at Two Sigma in New York. She spans the full stack, having implemented React UI enhancements and hardened serverless backends with AWS Lambda, Step Functions, DynamoDB and Rekognition for an image-recognition reference architecture. Angela has hands-on experience integrating authentication with Cognito and automating deployments, showing she values secure, repeatable delivery. Her contributions include custom metadata transformations, thumbnail generation, and improved error handling—practical improvements that strengthen production workflows. Colleagues can expect a developer who pairs frontend polish with backend resiliency and a demonstrated affinity for cloud-native, serverless patterns.
9 years of coding experience
Github Skills (21)
javascript10
aws-lambda10
aws10
serverless10
react10
amplify9
dynamodb9
amazon-s39
aws-s39
amazon-dynamodb9
nodejs9
s3-bucket9
aws-cloudformation8
image-processing8
wpgraphql7
Programming languages (5)
Github contributions (5)
aws-samples/lambda-refarch-imagerecognition
Jan 2017 - Dec 2020
The Image Recognition and Processing Backend reference architecture demonstrates how to use AWS Step Functions to orchestrate a serverless processing workflow using AWS Lambda, Amazon S3, Amazon DynamoDB and Amazon Rekognition.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:106 commits, 32 PRs, 106 pushes in 3 years 11 months
Contributions summary:Angela contributed significantly to both frontend and backend aspects of the image recognition reference architecture. They implemented UI enhancements within the React-based frontend to display image metadata like device model and geolocation. Simultaneously, they modified backend Lambda functions, including `store-image-metadata`, `transform-metadata`, and `thumbnail`, to include custom error handling, data transformations, and thumbnail generation, indicating improvements to the overall workflow. Additionally, the user integrated Cognito for authentication in the frontend and deployed a deployment script.
amazon-dynamodbamazon-rekognitionamazon-s3aws-lambdaaws-step-functions
angelarw/lambda-refarch-imagerecognition
Mar 2018 - Jun 2020
The Image Recognition and Processing Backend reference architecture demonstrates how to use AWS Step Functions to orchestrate a serverless processing workflow using AWS Lambda, Amazon S3, Amazon DynamoDB and Amazon Rekognition.
Contributions:41 commits, 11 PRs, 40 pushes in 2 years 3 months
amazon-dynamodbamazon-rekognitionamazon-s3aws-lambdaaws-step-functions
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