Mar 2022 – Sep 2025 · 3 yrs 6 mos

• AI for Marketing - Lead and built AI platform for marketing team which focus on the content generation, validation and review with the help of the cutting edge AI models.
• Content Platform - Lead content platform which is responsible for sending right content
• to right user. Scale of 1B+ user message per day

Jul 2020 – Feb 2022 · 1 yr 7 mos

• Vehicles Platform -Tech lead for vehicles platform which is responsible for Uber's all vehicle details and lifecycle of an vehicle across all the business verticals Rides, Delivery and Frieghts etc.,
• uTRAQ (0->1) - Leading and Building next generation analytics tool suite for Uber web platform. We are solving major pain points for the user which is visualising the analytics with minimal effort and predictive analytics. Goal is provide pluggable analytics for Uber with minimal code change

Oct 2019 – Jul 2020 · 9 mos

• 1. Entity Change Propagator - Have designed and implemented entity change propagator service which is responsible for propagating entity change at sub 10s of ms and also provides near real consistency using Merkle tree based AntiEntropy mechanism
• 2. BCP/DR:
• Have conceptualised and implemented backup, recovery and BCP for whole Pricing and promotions platform
• Have contributed plugins for backup across Flipkart EcoSystem ElasticSearch, KafkaOffset and HBASE
• Have designed and implemented Redis backup auto switcher tooling for redis managed by Sentinels
• Have designed dashboard for monitoring multiple clusters of MySQL, backup and business dashboards for BCP/DR
• 3. Multi DC Support - Have designed and lead the team for achieving Multi DC support for user path systems

Jan 2018 – Oct 2019 · 1 yr 9 mos

• Flash Sale: It is one of the important business construct for Flipkart, as the products are low supply and high demand, it is also one of the technically challenging in terms scale @200K QPS during a sale event, have conceptualized the design and lead the team on implementing the same
• Conceptualized and designed a new Sale entity in Promotions platform
• Designed and implemented State Machine for Sale
• Lead the team for implementing the changes across multiple system
• Early Access: Have designed and implemented the changes for EA, which is giving early access to sale Flipkart plus user, which is challenging in terms for technically and functionally
• NFR Optimisation : Have lead the team to achieve the 400K QPS for BBD sale, which involves in tuning applications and code changes to improve the latencies and throughput on the multiple systems

Mar 2015 – Dec 2017 · 2 yrs 9 mos

• Promotion platform is team which is responsible for powering the offer for Flipkart website. I was part of the re-architecting the Promotions 2.0 and have contributed to the same.
• Key Contributions
• Promotions Platform 2.0: Have contributed to solutioning, design and development of re-architecture of promotions platform which is highly scalable distributed system.
• Product Solutioning: Have designed and implemented new Offer constructs Bundle Offers which is to increase revenue of low selling product by attaching with high selling product, it was challenging task in terms of coordinating with multiple teams
• Scalability: Used various technologies such as HBase, Redis, Storm, ES, Aerospike and other technologies to scale backend of the promotions for millions of product with 100s of thousands of sellers for thousands of offers

Apr 2011 – Mar 2015 · 3 yrs 11 mos · Bengaluru Area, India

• RACS is Risk management platform for Hedge Fund clients, Broker Dealer and Private banking clients. It uses various calculator to measure risk for each position/instrument in the portfolio. The process simulating the performance of the client portfolio over years of historical market conditions in future (by using tools such as sensitivities), are then used to work out further for the generating client reports
• RACS is distributed system which is designed on Java where we have multi nodes which take care of our scenario manipulation and calculation. RACS has proprietary developed orchestration service framework which takes care of distributed job processing. RACS system is horizontally scalable and currently it uses multi node cluster to process task.

Oct 2008 – Apr 2011 · 2 yrs 6 mos · Bengaluru Area, India

• Oracle FLEXCUBE Enterprise Limits and Collateral Management integrates with existing IT application landscape and offers a single source for managing online, real-time exposure across the enterprise. Its process-centric architecture enables centralized collateral management, enterprise-wide limits definition, and tracking for effective exposure management as well as resource utilization.