Sanjeev Ranganathan

8+ years of work experience

Feb 20242 yrs 3 mosPresent

Bengaluru, Karnataka, India

Led the ONDC Backend team of 10+ members. Owned and scaled Ola Foods from 0 to 45,000+ food orders per day by building high-throughput backend services. •Designed and launched 4+ verticals (Grocery, Gift Cards, Fashion, Electronics) on ONDC platform •Reduced system latency by 80% by optimizing catalog services and improving request handling during high-traffic events (IPL, World Cup) •Improved ONDC protocol success rate by reducing errors from 40% to <5% through robust validation and cross team collaboration •Built and integrated MCP server with Kruti AI to enable AI first consumer experiences •Led datacenter migration for multiple services with minimal downtime and zero data loss •Re-architected notification delivery system to improve scalability and reduce resource utilisation

Oct 20221 yr 3 mosDec 2023

Bangalore

Built and scaled catalog backend services enabling successful launch of ONDC-based Pincode app. •Built and scaled catalog backend systems enabling successful launch of Pincode app •Optimized storage and query performance for large scale catalog systems, reducing response latency and improving throughput. Integrated insights from Data Science team into catalog systems. •Created an application to show insights to BPP and TSPs over their catalog ingestion on PhonePe's side. •Designed and implemented shortlink service for stores and products, improving user navigation and

Mar 20202 yrs 8 mosOct 2022

Bengaluru, Karnataka, India

My work here mainly revolved around leading ES team for maintaining and supporting Elasticsearch for PayPal. This opportunity gave a better understanding of end to end of this Platform. Working on Elasticsearch aware auto-patching patching tool for reduced manual effort on patching, restarting Elasticsearch nodes. Working on migrating from reactive Scala based applications to Spring reactor based applications. Worked on end to end setup of Geo localization project for most Elasticsearch clusters in PayPal. Main maintainer of major applications on top of these Elasticsearch clusters. Work with internal customers of Elasticsearch users for on-boarding and resolving queries and coming up with optimal usage for their use-case.

Sep 20181 yr 7 mosMar 2020

Bengaluru, Karnataka, India

My role involved understanding Elasticsearch, Kafka and reactive Scala for maintaining 10M+ / min ingestion and 1000+ nodes Elasticsearch platform in PayPal for other teams to readily use Elasticsearch without maintaining it. Created lossless Kafka to Elasticsearch ingestion pipeline with minimal throughput impact. Reducing the back and forth with data critical teams for data inconsistency. Worked on a wrapper application for config SOR system for all Elasticsearch related system in PayPal. Created a robust monitoring and drift detection system for all Elasticsearch clusters in PayPal.