Tech Lead for APIs on Lyft Autonomous
• 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
Tech Lead for Autonomous Testing Infrastructure
• 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
Launched a New Self-Driving Partner (Ford/ArgoAI)
• 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
Lead Engineer for EV Mode on Lyft
• 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
