Designed and implemented low-latency gRPC APIs for sending and receiving vehicle information for all autonomous vehicles (AVs) at Lyft

Served as primary contact for technical communications with external AV partners (Motional & ArgoAI)

Created a sandbox environment for partners to request, serve, and test autonomous rides

Mentored team members on projects, including fault-tolerant APIs for display synchronization in low-connectivity situations and scalable APIs for ingesting ride/route information from partners

Designed and developed a highly available, fault-tolerant service for simulating AVs in staging environments

Enabled product managers, engineers, and quality engineers to test rider experiences for AVs

Guided engineers and quality engineers on projects to enable continuous end-to-end testing of autonomous rides, resulting in fewer incidents and reduced manual testing

Developed a user-friendly graphical user interface (GUI) for testing APIs by Lyft employees and external AV partners

Developed and implemented a multi-month roadmap for integrating ArgoAI across multiple markets

Led the launch by collaborating with cross-functional stakeholders from Lyft and ArgoAI

Proposed and built a scalable and robust architecture for introducing a new electric vehicle (EV)/hybrid ride mode in the Lyft app

Mitigated risk of $23M revenue loss over the next two years

Oversaw development by guiding engineers and collaborating with multiple teams

Built integrations for secure connections between Heroku PostgreSQL databases and Amazon VPC resources

Decoupled data services from the Heroku platform to support managed data stores across multiple platforms

Developed integrations for using mutual Transport Layer Security (TLS) between external resources and Heroku PostgreSQL databases

Mentored interns and assessed candidates during hiring interviews