Jul 2023 – Oct 2024 · 1 yr 3 mos · Seattle, Washington, United States · Remote

• Staff Engineer in the Expense Policy team responsible for handling the transaction evaluation, repayment, reimbursement and reconciliation flows. Enabled Navan Expense to expand globally by building support for transactions in over 30+ currencies. Decreased the staleness for policy evaluation from multiple days to a few seconds by redesigning the policy evaluation flow.

Mar 2021 – Jun 2023 · 2 yrs 3 mos · Seattle, Washington, United States · Remote

• Managed two full‑stack teams, one responsible for Checkout APIs and Performance, the other for Checkout conversion and retention
• Grew the team to 3X, successfully leading recruitment and onboarding for 15 engineers across levels
• Mentored and coached 2 Senior Engineers through their successful transition to Tech Lead Managers
• Optimized system performance and scalability by developing key strategies for checkout performance and architecture. Reduced the loading time for logged in checkout by 50%
• Established external SLAs for user facing flows and designed best practices for observability and incident mitigation
• Spearheaded the successful launch of the Pinterest project within 6 months of joining
• Led the design, implementation and launch of the first iteration for embedding Checkout on Publishers, a new product
• Led the launch for an in-person Checkout experience within retail stores
• Collaborated with Product Managers and Designers to build the product roadmap in alignment with business goals
• Improved the interview process for engineering by incorporating industry best practices

Apr 2016 – Mar 2021 · 4 yrs 11 mos · San Francisco Bay Area

• Customer Support
• Increased efficiency by designing and implementing a workflow engine that automated over 50% of customer support, resulting in a 90% increase in the number of tickets handled per hour per agent
• Designed an NLP‑powered ticket assistant to improve the classification of support tickets and got featured on Uber’s tech blog
• Built a team of 8 engineers and delivered an extensible platform that handles Chatbot, IVR, Screenflow, and no‑touch automation
• Led a team of 4 to design and deliver an Orchestrator framework to handle the Customer support ticket lifecycle
• Recognized by the CTO in top 1% of all Uber engineers for technical excellence and contributions to Uber’s bottom line
• Uber Growth
• Designed a Call‑to‑Ride flow from scratch that allowed Uber to compete with local taxi businesses
• Created and delivered the backend for referral based Uber Driver Onboarding app
• Launched the app to 200+ cities aggregating to over 25% of all new drivers in emerging markets for Uber
• Conceptualized a Peer‑to‑Peer support flow for drivers in developing countries
• Built the backend for Vehicle Finance flow for drivers and led the launch for multiple countries

Jun 2014 – Apr 2016 · 1 yr 10 mos · Bengaluru Area, India

• Built a batch data processing system that computes rule based and Machine Learning based Insights and served over 100K QPS.
• Designed the platform for computing machine learning based user insights to upgrade the existing Map Reduce based stack.
• Presented the architecture in SlashN, the flagship technical conference of Flipkart. Flipkart is India's largest e-commerce platform

May 2013 – Jul 2013 · 2 mos · Gangnam-gu, Seoul, Korea

• Prepared a comparison of various Multiversion Databases and Persistent data structures based on their worst case performance for various temporal queries on current and previous versions.