- Developed SalesAssist: an intelligent "sales copilot" which ingests company sales training and utilizes ChatGPT to provide company-specific assistance to sales teams- Built a serverless API (w/ API Gateway & Lambda) in Golang to facilitate intelligent searching based on file contents- Built an asynchronous file processing service using Queues, Step Functions, & Lambda to process and calculate embeddings for uploaded files- Researched, implemented, and deployed vector databases to store embeddings- Utilized AWS CDK (infrastructure as code) to deploy SalesAssist to multiple environments

- Led the development of global, low-latency APIs to automate programming competitions (Developed in Python)- Utilized AWS API Gateway, AWS Lambda, and AWS DynamoDB- Automated the real-time aggregation of competition submission data, allowing YCW to track student progress and gaps in knowledge for 150+ students / semester- Raised $1k in funding for YCW's infrastructure- Configured monitoring tools (such as CloudWatch and BetterUptime) to track service latency and uptime Implemented security best practices: multi-account architectures (AWS Organizations), SSO access, security guardrails, and static code analyzers- Heavily utilized CDK & CloudFormation to standardize and automate infrastructure provisioning- Created CI/CD pipelines to automate deployment to dev, staging, and production environments

- Managed team of 10+ staff members to engage and challenge students- Led the planning, design, and execution of 4 large-scale programming competitions- Worked with tutors across multiple programming languages to implement demos during workshops- Utilized Airtable to keep granular track of objectives, tasks, assignments, and deadlines to manage time and work- Continuously brainstormed and implemented weekly interactive programming demos during workshops to keep students engaged- Established after-school extracurricular programming classes at 3 local middle schools, on top of workshops already running on weekends

- Developed robots that functioned as a swarm to complete complex tasks- Utilized Raspberry Pi Zeros, ran onboard image recognition and pathfinding- Robots streamed data to AWS IoT and established MQTT connections via Greengrass- Developed a Linux daemon to handle IoT device initialization and data streaming- Lambda functions published instructions to MQTT topics to give robots instructions after analyzing streamed data Worked extensively with serverless computing (AWS Lambda), Timestream, S3, and AWS IoT