The modern day healthcare experience is soul crushing. Arlo is changing that.

• Joined as one of the first 3 product engineers during Arlo's seed stage

• Backed by Upfront Ventures, 8VC, and General Catalyst.

Team: Data and Infrastructure

• Owned data pipelines in Spark and infrastructure via CloudFormation/CDK for 3 application teams (20+ engineers) powering patient engagement, affordability, and analytics platforms in a HIPAA-regulated environment

• Architected an end-to-end data pipeline using AWS DMS, Glue, and a custom scheduler to migrate 50+ production SQL tables into Apache Iceberg data lake tables, reducing query times by 50% with scheduled data refreshes

• Reduced AWS spending from $700K+ to under $500K monthly using spot instances for non-production environments, implementing scheduled shutdowns, optimizing backup frequency, and eliminating unused infrastructure

• Drove a company-wide effort to automate monthly patching of 750+ EC2 instances by developing an orchestration service using AWS Step Functions/Python, achieving 95%+ compliance and eliminating critical security vulnerabilities

• Implemented API Gateway caching, saving $50K+/year in infra costs and improving API response times by ∼250ms

Team: Bug Bounty Program

• Trained and evaluated OpenAI’s large language models by reviewing AI-generated code reviews for open-source projects including Grafana, Terraform, and Docker as part of Mercor’s Bug Bounty Program

• Provided recommendations to OpenAI to improve model evaluation quality by assessing over 100 AI-generated code reviews for technical accuracy, reproducible bugs, and reasoning consistency

• Improved evaluation reliability by validating 30+ peer submissions for bug accuracy and recommendation quality

Organization: EC2 Capacity Customer Experience

EC2 Capacity Customer Experience ensures that sufficient EC2 capacity is available to accommodate On-Demand Capacity Reservation requests for large enterprise clients running their compute on AWS

• Owned the EC2 On-Demand Capacity Reservation lifecycle experience for 30+ enterprise clients, including Netflix and Pinterest, managing reservation requests, supportability checks, and automated capacity recommendations

• Designed and implemented a full-stack service using Next.js, TypeScript, Java, and AWS that recommended and automated actions capacity planners did to approve reservations, reducing reservation approval time by ∼30%

• Built a staging preview for capacity reservation CSV imports that validated fields, resolved duplicate state, and enabled users to identify and resolve conflicts before ordering, reducing misconfigured reservations by ∼20%

• Initiated the root cause investigation of our EC2 Capacity Reservation website outage in an isolated region. Developed a health check program in Ruby that polled the website across all regions, cutting a SEV2 ticket with screenshots to notify the team of any future outages

• Debugged and resolved flaky Cypress integration tests that incorrectly tested the EC2 Capacity Reservation website's asynchronous APIs, improving integration test success rate from 30% to above 90% and significantly enhancing the team's deployment velocity

• Created a review process for UI/UX-related features to ensure they are customer-friendly. Developed a script to notify a Slack channel of approved reviewers to review UI/UX tasks asynchronously

Team: Enterprise E-Commerce Team

• Owned checkout functionality and reliability for e-commerce websites including bungiestore.com and naturepedic.com, built in Magento (PHP) and MySQL serving over 2 million unique customers annually

• Investigated and resolved multiple checkout issues for clients related to invalid coupon code use, incorrect order totals being refunded, and general third party module incompatibility saving tens of thousands of dollars annually

• Diagnosed and debugged client issues related to missing and incorrectly configured products

• Debugged store locator logic to resolve an issue where premium gallery locations were not being returned for a client

• Created MySQL queries to fetch store information for clients and performed module installations as well as Magento upgrades to update store functionality