Apr 2024 – Apr 2025 · 1 yr · Bengaluru, Karnataka, India

• Build realtime data ingestor pipleline for handling updates on POI updates from multiple sources using Kafka and SpringBoot, handling peak traffic of 1M RPM
• Reverse Geo-coding: Build the capability of converting lat/lng to proper addresses using Elasticsearch and Geohashes,
• handling a throughput of >1M RPM across platforms
• Led to an increase in autocomplete accuracy by 50% using algorithm improvement and data strategy, helping in migrating all
• Ola Businesses from Google to Ola Maps
• Optimize the overall architecture by optimizing elastic search and service level calls introducing concurrency and reducing
• memory footprint, bringing down auto-complete P99 to 80ms from 220ms, and increasing load throughput.
• Managed team performance through code reviews, design evaluations, and task optimization, and for promoted within 8
• months from SDE-2 to SDE-3 of joining the organization

Jul 2023 – Mar 2024 · 8 mos · Bengaluru, Karnataka, India

• Member of the Ola Maps Search Team by working on Autocomplete, ReverseGeocoding etc handling around 1 billion requests a day
• Reverse Geo-coding: Build feature to convert lat/lng to proper addresses, handling a throughput of 500K RPM using Point In Polygon and Geohash based aggregation.
• Nearby Search for places based on category like a nearby restaurant and hospitals for Ola Maps
• Build a tool to compare the results from current results against different algorithms and data changes using batch airflow improving developer productivity
• Optimize the overall architecture by optimizing elastic search query and infrastructure, and service level calls introducing concurrency, and reducing
• memory footprint, bringing down auto-complete P99 to 80ms from 220ms and increase load throughput with 500k
• Was mentioned as the MVP of the team in the first quarter leading to promotion

Jul 2022 – Jul 2023 · 1 yr · Bengaluru, Karnataka, India · Remote

• Collaborated with the Post Order Team, focusing on the Partner Side of Flows, ensuring smooth operations and optimizing partner engagement.
• Successfully launched the Payout System for Partners, effectively managing pricing changes, surge, and incentive rules based on various conditions. These efforts resulted in an improved partner retention rate and an 8.31% reduction in Cost per Transaction (CPT).
• Developed a robust reverse ETL Pipeline using Apache Beam to handle payouts at scale, demonstrating strong technical expertise and the ability to handle complex data processing tasks efficiently.
• Implemented an audit logging system using BigQuery and Pub/Sub, enabling seamless handling of multiple updates across various squads within Dunzo. The system achieved an impressive rate of 10k requests per minute (RPM), ensuring reliable and secure data management.
• Integrated a third-party solution for validating partner documents, effectively mitigating fraud risks and reducing TDS costs by approximately 40 lakhs per quarter.
• Mentored team members, supporting their professional growth and aligning their development with the company's objectives. Reviewed Technical Requirement Documents (TRD) and Product Requirement Documents (PRD) across teams, ensuring scalability and adherence to best practices. Additionally, conducted code reviews to maintain code quality and scalability.
• Recognized as a key contributor in the organization, being part of the "Team of the Quarter" for the second quarter, reflecting outstanding performance and significant contributions to team success.

Apr 2021 – Jul 2022 · 1 yr 3 mos

• Building the first version credit/ledger engine for Ula Fintech, bringing up a microservice, and reach from 0 -> 50k users
• Work on Engineering Initiatives of building Audit Log, Automation of Notification based on Credit Metrics increasing the reliability of the product, and bringing down the Due Metrics
• Build Cash Collection Module to initiate real-time collection
• Designing and Reviewing HLD/LLD documents, Code reviews, and mentoring people

Jun 2020 – Apr 2021 · 10 mos

• Working in the Growth and Experience team,
• Enhancing the Coupon Engine to enable all sorts of capabilities for a location to categories and enhancing the Coupon usage over the app
• Enhance the search capabilities for users by working on ElasticSearch Queries
• Implement Redis for caching user and location details bringing down the P99 latency to 5-10ms
• Enable Whatsapp Message via 3rd party integration to set up the first phase of Whatsapp notification increasing customer engagement