---
title: "Bhupendra Kumar Gehlot - Software Engineer in Bengaluru | Tal"
description: "Meet Bhupendra Kumar Gehlot, Building lending platforms and AI systems at CRED | Product engineer who ships 0→1 based in Bengaluru. AI stack includes cursor, opencode, and claudecode. Explore public work links including github."
image: "https://tal.club/meet/bhupendra-kumar-gehlot/share-image"
---

# Bhupendra Kumar Gehlot on Tal

## Headline

Building lending platforms and AI systems at CRED \| Product engineer who ships 0→1

## About

If you're building a fintech or platform product and need an engineer who can own something end\-to\-end from architecture through shipping through ops\. I'm worth talking to\. At CRED I've operated across the full lifecycle of production systems: designed BFF architecture, built the middleware layer, shipped the frontend, ran CI/CD, managed observability, and debugged production incidents\. I don't need someone to tell me what the next problem is\. I find it\. Some things I've shipped in the last 18 months: → Bankstack BFF platform \(0 to production, now serving 7\+ lending products\) → Cash by CRED acquisition platform \(full\-stack, millions of users\) → AI campaign automation tool \(cut 4–5 day workflows to minutes\) → Ops tooling that freed up 50\+ daily operations staff from 2\-day issue queues I thrive in the ambiguity of early\-stage and growth\-stage products\. I've been the person who builds the infrastructure, ships the feature, and writes the runbook\. I don't have a narrow lane\. Looking for my next challenge at a company building something hard\.

## Location

Bengaluru

## AI stack

cursor

opencode

claudecode

## Work experience

Software Engineer at CRED, Jun 2025 \- Present · 1 yr 3 mos, \- Took full ownership of Cash by CRED's lending platform, building the complete borrower acquisition journey as a production\-grade full\-stack system\. \- Designed and implemented the middleware orchestration layer \- handling authentication, rate limiting, request routing, caching, feature flags, experimentation, and downstream lending integrations serving 10,000\+ weekly requests\. This layer became the single boundary between product logic and upstream lending APIs, isolating complexity from frontend teams\. \- Also owns engineering operations across the Bankstack, CS360, AI Emailer, and lending platform surface areas: Kong API Gateway configuration, Grafana dashboards and alerting, Jenkins CI/CD pipelines, production debugging and incident response, PR governance, and cross\-team technical coordination across CRED, Newtap, and VA Tech\.

Software Engineer Intern at CRED, Dec 2024 \- Jun 2025 · 7 mos, \- Built Bankstack from scratch \- a backend\-for\-frontend platform powering 7\+ lending products, serving 10,000\+ weekly sessions\. Designed the Express\.js BFF layer to handle gRPC\-to\-REST transformation, dynamic screen rendering, and abstraction of downstream complexity from frontend teams\. \- Re\-architected the Bankstack frontend around reusable templates and dynamic routing, eliminating 70–80% of screen\-level code duplication and collapsing new screen rollout time from 4 days to under 5 minutes\. Shipped zero\-downtime migration across multiple regulated environments\. \- Built and productionized an AI email automation platform end\-to\-end\. LLM\-driven workflows generated 1,000\+ production campaign templates, reducing campaign creation from 4–5 days to minutes\. Sole owner from design through deployment\. \- Shipped consumer\-facing journeys for CashX, Cash\+, CC Cross\-Sell, Flights, and Hotels — including booking, payments, onboarding, and post\-purchase experiences — in collaboration with product, backend, mobile, and design\.

Software Engineer Intern at Freo, Sep 2024 \- Nov 2024 · 3 mos, Bengaluru, \- Built a transaction intelligence platform in React\.js with LLM workflow integration \(Gemini\)\. Implemented context\-aware caching that reduced downstream API calls by 35% and improved processing throughput by 40%\. The platform enabled the data team to run real\-time natural\-language queries against transaction data without raw API overhead\. \- Built Freo Insurance's secure authentication page\.

Software Engineer Intern at HomeLane, May 2024 \- Jul 2024 · 3 mos, Bengaluru, \- Enhanced the camera workflow in HomeLane's React Native mobile app, used by 10,000\+ daily active customers\. Built and deployed a MobileNetV2 \+ TFLite model for on\-device blurred image detection, reducing the need for manual quality checks by the onsite team\. \- Created a proof\-of\-concept for an RFQ backend using Supabase\.

## Education

Bachelor of Technology \- BTech, National Institute of Technology Raipur

12th PCM, Board of Secondary Education Rajasthan

## Public links

- github: https://github\.com/Bhupendra\-Gehlot1

[View the original profile](https://tal.club/meet/bhupendra-kumar-gehlot)

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