Responsibilities
Component lead for two core products at Adobe, owning feature development, KPI reporting, effort estimation, code reviews, and on-call onboarding documentation. Worked within an AWS-based infrastructure stack, Kubernetes, Argo, Jenkins, and Sonar — across a comprehensive testing pipeline spanning unit, container, load, integration, and fault tests.
- Built an optimized asset listing API reducing response times from 1,000ms to under 100ms, improving web app load from 4s to 1s.
- Developed a Data Reconciliation system that cut alert frequency by 70%, saving 3,500 man-hours at just $3K annual cost.
- Designed a Garbage Collector workflow for cloud storage, cutting storage costs by 62%.
- Mentored an intern to ship a RAG-based Slack chatbot (GPT-3 + MongoDB vector store) for internal documentation.
- Conceptualized a Comment Summarization MVP at Hackathon using prompt engineering to extract tone, summary, and action items.
- Recognized as a founding member of the Champion Team to drive cross-org innovation (2022).
Adobe sharpened my instinct for engineering at scale. Shipping a 10× API performance improvement and a reconciliation system that saved thousands of man-hours taught me that the best engineering decisions are ones that compound quietly, long after the code is deployed.
Technology stack
