• Improved service reliability and proactive issue detection by implementing User Canaries that continuously validate event pipelines; replaced a reactive “flying blind” approach with automated monitoring and metrics.

• Boosted developer efficiency and reduced testing friction by creating the Request Bin internal tool, enabling engineers to self-serve webhook endpoints for testing and debugging—now frequently used and integrated into automated tests.

• Elevated API performance and reliability to meet the 99.95% SLO by diagnosing and fixing critical Lambda memory and SQL query inefficiencies, cutting latency, and fixing failures in production workloads.

• Enhanced customer experience and minimized downtime by implementing retry logic for external service calls, aligning the API reliability with industry standards, and maintaining SLO compliance.

• Enabled scalability and future growth by designing and implementing a distributed BI event reporting solution capable of processing more than 10x more data, unblocking the API migration, and supporting revenue-linked analytics.

• Supported junior engineers by unblocking technical challenges, knowledge sharing, and providing feedback on their work.

• Enabled new async event capabilities in production by setting up the required infrastructure and pipelines, unblocking multiple internal consumers dependent on those events.

• Strengthened observability and incident responsiveness by replacing delayed metric-based alerts with direct CloudWatch triggers to PagerDuty, enabling immediate visibility into event queue delays.

• Contributed to multiple technical design reviews (authorization, data migration, and API migration) and consistently advocated for scalable, cloud-native architecture aligned with customer needs.

• Supported production reliability by participating in on-call rotations, diagnosing and resolving incidents, and contributing to post-incident reviews to prevent recurrence.

• Partnered with support and platform teams to define operational maintenance tooling for post-migration service, clarifying requirements and proposing forward-looking solutions that reduced dependency on legacy systems.

Symphony is an open-source real-time collaboration framework.

• Researched and decided on the components to be provisioned, including real-time infrastructure and state convergence

• Implemented preservation of shared application state by checkpointing and storing the documents to object storage (AWS S3)

• Designed the schema for a PostgreSQL database (AWS RDS) and implemented persistence of server metadata

• Simplified the monitoring and debugging of the system by building a dashboard interface that provides metric data about connections and documents (React, TypeScript, Tailwind)

• Wrote a RESTful API (Node.js/Express) for delivering server metadata to the dashboard client, including live metrics (SSE)

• Abstracted away the backend management by containerizing (Docker, AWS ECR) and moving the server from AWS EC2 to AWS ECS deployed in Fargate mode

• Separated concerns by decoupling the backend into individual services for Dashboard and WebSocket clients

• Provided a single point of entry to services and traffic routing to individual instances of the WebSocket server by configuring an application load balancer (AWS ALB)

• Increased the number of concurrently connected clients handled by the WebSocket service from 240 to 10,000 (40x) by horizontally scaling the WebSocket server using pub/sub model (AWS ElastiCache for Redis) and allowing server-to-server querying for application state (AWS DynamoDB)

• Authored Symphony's case study: symphony-framework.github.io

• Collaborated with a remote team of 4 engineers across 2 timezones using Agile workflow

Developed open-source software. Some of the projects created and technologies used during this time:

• Terminal - a real-time application for receiving and debugging webhooks (Next.js/React, TypeScript, ChakraUI, Node.js, Express, PostgreSQL, MongoDB, WebSockets)

• Progress Pal - a database-backed productivity application for managing tasks and goals (Ruby, Sinatra, PostgreSQL, JavaScript, jQuery, HTML, CSS)

• Contact Helper - a contact manager application that lets you save and sort contacts by different categories with Model-View-Controller structure on the front-end (Node.js, Express, JavaScript, Handlebars, HTML, CSS)