Apr 2024 – Present · 2 yrs 1 mo · Bengaluru, Karnataka, India

• Core Responsibility: Owning the end-to-end payments and market infrastructure stack, processing ₹340 Cr+ in annual GMV. Bridging the gap between business strategy and technical execution to build high-reliability financial systems.
• Payments Architecture & Performance
• Low-Latency Routing Engine: Conceptualised and shipped a smart routing engine for payment gateways. This optimised traffic based on real-time success rates, increasing SR by 12% for large transactions and reducing processing latency by 200ms.
• Intelligent Fallbacks: Designed a "smart fallback" payment flow that automatically reroutes users to alternative methods upon failure, driving a 15% increase in conversion rates.
• Recurring Payments: Built a feature to securely retry failed mandates, boosting recurring transaction success by 30%.
• AI & Technical Execution (Python/n8n)
• AI Agent Deployment: Designed and deployed internal AI agents to handle complex support queries and data reconciliation. By automating these workflows, we reduced manual intervention by 70%.
• Agentic Workflows: Architected 20+ automated workflows using n8n and LLM APIs to connect payment gateways, CRMs, and analytics dashboards, streamlining internal ops.
• Data Pipeline Engineering: Built a backend API to query data from Athena, parse it into CSVs, and push to S3, creating a self-serve reporting system for sub-merchants.
• Market Infrastructure & Security
• Platform Integrity (PaRRVA): Led the platform-wide migration for PaRRVA (Past Risk and Return Verification Agency). Complied with NSE and SEBI directives to ensure 100% readiness within a 3-month deadline, securing standardised market access.
• Standardised UPI Stack: Managed the rollout of "Valid UPI Handles" to enforce stricter security protocols across the payment ecosystem enforced by SEBI.

Apr 2023 – Apr 2024 · 1 yr · Bengaluru, Karnataka, India

• Payment System Decoupling: Led the transition to a decoupled payments architecture. This reduced system dependencies and drove a 67% increase in conversions due to improved uptime and reliability.
• Retention Engineering: Executed deep-dive A/B testing using SQL to identify drop-off points. Implemented feature enhancements that resulted in a 31% uplift in user retention.
• Automated Monitoring (Python/Airflow): Wrote and deployed Python scripts via Apache Airflow to monitor SLA breaches and transaction failures in real-time, cutting manual monitoring effort by 80%.
• Internal Tooling: Prototyped LLM-powered assistants for internal teams to summarise data trends and generate instant analytics reports.

May 2022 – Apr 2023 · 11 mos · Bengaluru, Karnataka, India

• Revenue Optimisation: Spearheaded the analysis and deployment of pricing and feature experiments that resulted in a 72% MoM revenue increase and a 115% boost in LTV.
• Analytics Architecture: Established the product analytics foundation (DAU, ARPU, Churn, Take-rate). Designed 50+ dashboards using Tableau and Athena to democratise data access.
• Process Automation: Launched an automated reporting system using Python, generating 180+ monthly reports and saving the team 12 hours/week of manual work.