• Tech lead for Testing Infra across 4+ Attribution teams, driving the design and vision of next-gen testing infra and executing it across 10+ engineers resulting in 4.2M+ revenue savings.

• Led a team of engineers for cross application privacy effort over multiple halves across the Ads Event Infra Org consisting of 7+ teams which provided 4% of global revenue protection.

• Designed and implemented multiple revenue generating products like reporting vs ranking attribution, longer attribution window by collaborating across 8+ teams which brought 0.1%+ incremental revenue.

• Directed bi-annual roadmap planning for my team including projects designs, work distribution that prioritized engineer growth, mentoring and steady progress tracking resulting into successful launches over multiple halves.

• Tech lead of airport and venues matching platform and Ready when you are project, driving the product, design and implementation across cross-functional members including PM, DS, Ops, backend and mobile IC’s.

• Proposed and designed with a Data Scientist an airport specific objective function for linear programming solver which replaced driver ETA with time-to-leave version which included factors like rider-driver inconvenience.

• Designed and implemented, unified queue solver for solving the bipartite graph matching problem at airports and venues with FIFO constraints which reduced the queue violations by ~97%.

• Led a team of 2 engineers and collaborated with 6+ peers across 3 teams and 2 sites to design, plan, implement and launch simultaneous pin and standard dispatch at airports.

• Spear-headed the engineering excellence effort across 5 teams in airports organization which included service reliability, incidents and follow-ups, on-call health, product quality and engineering foundation.

• Conducted weekly sync meeting for 5 teams to provide updates, call out wins and blockers and promote collaboration.

• Reduced supply contention across greedy and just-in-time matching algorithms by ~95%, resulting in improved marketplace health by designing and implementing dispatch strategy for airports.

• Updated the backend matching services written in Node.js and Go to enable airport priority dispatch celebration message in the driver application for diamond tier drivers as a part of Uber Rewards Pro program.

• Implemented real-time streaming bounce-processor Java application to read bounce mail responses from 3 different Kafka topics using Spring Boot, Spring Integration and Spring Cloud which classified the responses and made a REST API call to unsubscribe or mark the subscriber as undeliverable.

• Updated a real-time streaming trip-processor Java application to read user activity events from a Kafka topic to either schedule a new email in future or deactivate an existing schedule of email to be sent in future.

• Designed, implemented and deployed a real-time streaming Java application called welcome processor using Spring Boot which reads user created events from a Kafka topic, applies rules and filters, creates a welcome series and after transformation writes it out to ActiveMQ queue for consumption by a downstream application.

• Designed the fare processor Java application to be a generic rules engine based event processor using Spring Boot and ActiveMQ to decide the eligibility of fares and arrival/departure airports to be published as emails.

• Parsed the feedback loop email spam complaints and unsubscribed the corresponding users using Python scripting.