Software Engineer

Teams: Twitter Ads Manager & Revenue Productivity | ads.twitter.com

• Led development of critical projects impacting 98% of Twitter's Ads revenue.

• Built critical microservices supporting both frontend and backend.

• Optimized latency from 2 min to 5 sec on fetching, sorting and filtering of 300+ Ads metrics.

• Review and apply best practices on hundreds of unit, end-to-end tests and db queries.

• Owned and led each step of the product development cycle for the Ads Campaign in-line

editing service (React/Scala).

• Improved advertisers time in managing their Ads campaigns and creative edits by 200%.

• Developed improved data services and pipelines using Scala.

• Run code reviews, produce technical documents and systems monitoring via on-calls.

• Contributed to CI/CD systems.

• Implemented GraphQL APIs with multi-data source pagination using Thrift, Relay & Node.js.

• Built WeCast.fm. A multi-tenant (SaaS) platform for hosting and distributing podcasts with CDN support, analytics, websites for shows/episodes and more. Designed and implemented the frontend, backend, and infrastructure (DevOps). Used: Nodejs, React, MySQL, Redis, NGINX, AWS, JavaScript and TypeScript.

Lead Backend Engineer.

• Led development of scalable and distributed APIs.

• Built an in-house Email & SMS messaging systems, activity feed and search engine to power thousands of student-athletes including a ML model (Machine learning model) for implicit recommendations.

• Wrote scripts to (ETL) extract, transform and load big data.

• Optimized RDB queries.

• Solved scalability and performance issues, enabling 1000s of async messages/replies/day.

• Designed CI/CD and highly-scalable, fault-tolerant solutions using AWS, Docker, Terraform.

• Proven experience with AWS.

• Developed a broadcasting system using RTMP/FFMPEG and C++.

• Built a custom iOS audio player app with Swift.

• Server scripting and DevOps.