I'm a Software Development Engineer at Amazon, focused on distributed systems, cloud infrastructure, and solving complex engineering challenges at scale.
Experience
Built an API-based repository managing 450+ network device specifications with sub-120ms retrieval times, and developed a TypeScript web UI with an LLM-powered natural language interface that reduced schema creation time by 70%. Re-engineered a hardware requirements engine into a standalone service automating hardware selection for 250+ datacenter connections, saving 100–200 hours per planning cycle and preventing $100K+ in cost overruns. Optimized an ML device ordering system, achieving 97% efficiency improvement by reducing processing time from 120 minutes for four datacenters to 4 minutes for all datacenters in a region. Engineered an analytics pipeline using DynamoDB Streams, Lambda, and Redshift to analyze request volumes, latency, and access patterns across 37 endpoints.
Revamped the AWS network cost modeling system by unifying backend services into a single API, reducing latency by 25%. Built a Vue.js management interface to streamline cost model submission, search, and download workflows, and implemented an automated input validation framework that improved submission accuracy by 15%. Achieved 90% code coverage through comprehensive unit, integration, and end-to-end testing.
Led a team of three interns to migrate 200+ XML-based Oozie workflows to a high-availability Apache Airflow scheduler, improving job monitoring, reliability, and ease of deployment. Integrated workflows with existing Hadoop and Spark infrastructure to support large-scale data processing.
Skills
Projects
Mobile Application
An intelligent mobile application leveraging agentic AI workflows to automate job search, interview scheduling, and resume optimization. Uses autonomous agents to track opportunities and provide personalized career guidance.
Education
B.S. Computer Science
Organizations
Triton Engineering Student Council (SD Hacks), Delta Sigma Pi, Lumnus Consulting, CASA