May 2025 – Present · 1 yr · Noida, Uttar Pradesh, India

Mar 2024 – May 2025 · 1 yr 2 mos · Noida, Uttar Pradesh, India

• Lead the UPI and Money Transfer Experience Engineering team at Paytm, focusing on enhancing app features.
• Drive system architecture and workflow design to optimize Money Transfer functionalities.
• Spearhead multiple optimization projects to improve overall performance and user experience.

Oct 2020 – May 2022 · 1 yr 7 mos

Jun 2018 – Oct 2020 · 2 yrs 4 mos

• Migrated the complete traffic with zero downtime from single master to the horizontally sharded cluster of MySQL
• Migrated the service configuration management to Consul
• Implemented Service discovery across microservices to remove dependency from AWS Load Balancers
• Developed features like Global rate limiting, Quota management, Traffic splitting and Back pressure in API Gateway
• Lead architecture design and implementation of the payment method based offers workflow on the Paytm App
• Lead architecture, design and implementation of payment method based convenience fee model
• Redesigned the checkout workflow to reduce load time
• Lead design to scale the cart architecture to support 100s of cart per user at a store level
• Lead design, architecture and implementation of TOTP algorithm based seller-customer handshake for offline buying scenarios
• Redesigned the order processing workflow to optimize the process and reduce the database queries to half
• Implemented multiple security measures for data security across services including masking, role based authorization and encryption.
• Implemented a network security topology which prevents direct external network access and ensure all outgoing traffic is routed through an egress gateway

Jun 2016 – May 2018 · 1 yr 11 mos

• Redesigned the service architecture from monolithic to layered microservice architecture to improve uptime. Used the Separation of Concern design principle to identify and split services.
• Developed Lua plugins to send customer HTTP metrics to Datadog for detailed service monitoring. The plugin is used across teams to monitor HTTP health
• Developed Lua plugin for rate limiting based on custom HTTP headers like customer ID
• Reduced Mean time to resolution by integrating custom metrics with Pager and setup a On-Call process within the team
• Migrated branch based service configuration to environment based configuration to power the same codebase for all environments.
• Optimized multiple rule engine implementation from evaluation of hundreds of evaluations to 1/10 by narrowing down to exact filters.
• Developed a service discovery module for the staging environment using Lua to provide DNS based routing for staging environment
• Implemented Opentracing standard within checkout and dependent systems to improve RCA SLAs and better visibility.
• Designed a highly scalable and distributed pipeline for Order events consumed by multiple parties including Fraud engine, Notifications and Order history.
• Redesigned the Elasticsearch sharding and indexing strategy for effective load balancing and low latency search results
• Implemented Time based sharding in MySQL data store using ProxySQL

Jun 2015 – May 2016 · 11 mos

• Technology Evaluation, Architecture and Development of Commission and Revenue engine for automated payouts of lakhs of sellers and other entities on Paytm Commerce platform
• Developed a Commission engine to power a system of credit and debit against a given order
• Developed a dynamic rule engine to compliment the Commission engine to configure complex conditions and actions.
• Revenue and Settlement engine to calculate complex revenue rules for multiple commission categories based on shipment type, weight slabs etc.
• Migrated the Invoicing module from sync to event driven.
• Developed a module for signing of AWS S3 URLs by proxying the user requests to a service that handles user authentication.

Jun 2014 – May 2015 · 11 mos

• Developed an API authentication module for authenticating requests using Openresty submodules.
• Developed a central URL redirection tool for SEO using Redis and nginx shared memory as backend

Jun 2013 – May 2014 · 11 mos

• Technology Evaluation, Architecture and Development of Customer Insights Platform using Hadoop and HBase
• Customer Segmentation Framework using Sqoop,MapReduce and Azkaban.
• Development of the OLAP Engine for aggregating data into fact and dimensions.
• Development of the Reporting Framework for creating data transformations in workflows.
• Workflow manager using Azkaban for deploying, scheduling and bookkeeping workflows
• Unique user framework using Redis for storing unique data across customer channel and product verticals