Improved reliability and reduced latency of customer checkout to under 300 ms by building fully asynchronous API checkout flow via Kafka and Cosmos DB from legacy synchronous flow in Assignment Management system

Re-optimized joins and determined need for additional key indexes to reduce P99 latency from over 1 sec to less than 500 ms after investigating and optimizing legacy underperforming MySQL queries using SQL EXPLAIN and Azure diagnostic info

Established Kotlin schema, endpoints, and logic to link incidents to in-progress orders, identifying cause for 90% of vehicle down time

Created sticky filters in Command Center by leveraging TypeScript and Zustand store to write user-selected values to local browser storage

Integrated gRPC stub to get inventory eligibility data from Assignment Management, displaying calculated percentage for 300+ vehicles

Implemented in-memory caching and garbage collection with Guava to reduce API latency from several seconds to less than 100 ms

Explored viability for integration of new vehicle planning, incident, and sensor data in Command Center for hub managers

Designed critical reusable React components with Reakit for design system used by all 5 internal web applications across company

Led operational excellence improvements by implementing server side alerting with Prometheus and Elastic to detect API errors, high latency, SQL errors, pod CPU spikes, and Kafka lag, as well as crafting multiple Grafana dashboards to visually track SLA requirements

Reduced overall drive time by 2 min, using Uber’s H3 and historical demand to better position vehicles in service area with predictive positioning that overhauled vehicle idle time in multi-quarter project

Created image viewer and hashed out OpenAPI spec for endpoint that utilized Verkada client to take snapshots inside vehicles in real time

Designed modals for crucial actions like placing vehicles offline and reassigning orders in Command Center that called upstream services

Developed hundreds of React Query hooks, Axios endpoints, and React function components to match Figma specifications

Collaborated on Kotlin back end systems, including Kafka ingestion, SQL queries, Javalin REST API endpoints, and OTEL collection

Composed 20+ SQL migrations and stored procedures to create new tables, modify columns, and add or remove indexes

Participated in every step of product development process as tech lead from ideation to development and improvement of existing features

Led new feature planning as project manager by driving product roadmap decisions around timeline, design, implementation, and rollout

Overhauled entire UI with AngularJS, JavaScript, HTML, and CSS, leading to rebrand before launching Outwing as external SaaS tool

Built automated monitoring with NewsCatcher API and PostgreSQL on Node.js server, reducing time spent on daily tasks by 1.5 hours

Implemented feature to quantify relationship building with journalists by calculating coverage conversion rates for client spokespeople

Introduced customizable coverage exports, allowing teams to alter formatting to meet requirements of client executive teams and boards

Improved product security for all users by converting direct Firebase reads and writes to authenticated REST API endpoints with Express

Debugged errors and deployed patches in timely manner by leveraging user feedback, Heroku logs, and Papertrail logs

Onboarded 87 new LaunchSquad clients to Outwing, increasing LaunchSquad user adoption by 64%

Extracted data with SQL from Postgres database to analyze and identify key trends used to inform entire company in monthly newsletters

Generated insights and created digestible deliverables for clients and new business prospects by applying advanced spreadsheet techniques

Educated all employees on leveraging Outwing to prove the impact of agency work to clients, increasing product fluency across company

Gave Outwing product demos to client CMOs, communications leads, and other key stakeholders, leading to stronger client relationships