Jul 2024 – Present · 1 yr 11 mos · Bengaluru, Karnataka, India

• 1. Led Used Car Loan migration from SFDC to Credit Central, managing an 8-member team, developing and delivering with negligible production issues, successfully sunsetting legacy systems
• 2. Optimized core credit central flows, eliminating ~300K redundant calls per day and reducing p99 latency from 2s to 120ms on My Cases Page, improving decisioning system latency from 40s to 12s, enhancing turnaround time and user experience
• 3. Strengthened platform resiliency & cost efficiency by spearheading Nginx onboarding (Bureau Hard/Soft Pull), migrating Drishti App to internal bureau services, and implementing circuit breakers to reduce system downtime because of external API dependencies
• 4. Delivered reusable, config-driven features like FCU callback, mail triggers, sanction conditions deletion, Non-Individual Hunter integration, improving onboarding speed, and cross-product reusability
• 5. Built UCL Express Flow to accelerate the sanctioning of policy-approved cases. Leading Commercial Bureau integration for automated non-individual bureau score fetching
• 6. Drove engineering excellence & mentorship through code/design reviews, grooming, and KT sessions for fresh inductees, fostering a design-first culture and faster onboarding

Dec 2022 – Jun 2024 · 1 yr 6 mos · Bengaluru, Karnataka, India

• 1. Contributed to 16+ key services forming the backbone of the Credit Central System, which minimized risk and optimized loan decision-making through a combination of human expertise and automated tools.
• 2. Played a key role in the SFDC sunset project for Unsecured Business Loans, achieving significant cost savings by phasing out over 1,100 licenses and reducing TAT from 40 to 24 hours. This generated over 350 Cr in business in the first quarter post-launch.
• 3. Led the development and onboarding of the non-individual applicant journey, implementing complex backend integrations, a configurable UI, and graph-based algorithms for efficient shareholding pattern processing.
• 4. Focused on building services and workflows that optimized efficiency and reusability, contributing to the development of key functionalities like the Insurance Update Module, Fraud Control Unit Return Module, and Fi ResiCumOffice Flow, with zero bugs reported in production and a consistent 15% MoM growth.
• 5. Implemented operational enhancements such as redission locks and duplicate request checks, which reduced costs, minimized external API calls, and improved system stability.