---
title: "Ritesh Godse - Software Development Engineer 1 in Bengaluru | Tal"
description: "Meet Ritesh Godse, SDE-1 @Jupiter | Ex - PayU | Backend Engineer | Fintech | Java | LLM and Backend Systems Developer based in Bengaluru. AI stack includes aistudio, anthropic apis, and antigravity. Explore public work links including github and leetcode."
image: "https://tal.club/meet/ritesh-godse/share-image"
---

# Ritesh Godse on Tal

## Headline

SDE\-1 @Jupiter \| Ex \- PayU \| Backend Engineer \| Fintech \| Java \| LLM and Backend Systems Developer

## About

Software Developer with hands\-on fintech experience at PayU Payments, specializing in AI/ML solutions and backend development\. Built LLM\-powered chatbot that reduced support queries by 40% and deployed scalable systems supporting 5,000\+ concurrent users with 99\.9% uptime\. Proven expertise in Python, Java, Node\.js, and cloud technologies \(AWS\), with strong foundations in REST APIs, database management, and CI/CD pipelines\. Smart India Hackathon qualifier pursuing BTech in AI & Data Science \(8\.9 CGPA\) with patent\-pending innovations and published research experience\.

## Location

Bengaluru

## AI stack

aistudio

anthropic apis

antigravity

claude code

claude

codex

cursor

deepmind

deepseek

gemini

geminicli

hugging face

langchain

langgraph

langsmith

mcp

n8n

notion

ollama

opencode

railway

## Work experience

Software Development Engineer 1 at Jupiter Money, Jan 2026 \- Present · 7 mos, Bengaluru, Karnataka, India, • Built and scaled Jupiter’s Customer Segmentation and Real\-Time Decisioning Platform, powering personalized onboarding, payments, lending, and growth journeys, increasing targeted cross\-product acquisition by 60% while serving 37M\+ requests/day across 5M\+ customers through Kafka\-based event processing and Elasticsearch\-backed feature serving • Improved onboarding conversion and customer experience by eliminating terminal\-state, retry\-loop, and stale\-state failures across PPI, VKYC, and eKYC journeys, reducing customer complaints by 40% • Led backend modernization initiatives for PPI and Java 25 migration, building cloud\-agnostic services that simplified multi\-cloud deployments across AWS and Oracle, improving maintainability and operational efficiency • Built an automated onboarding recovery platform leveraging WhatsApp engagement and CKYC remediation workflows, increasing successful onboarding conversions by 14% • Reduced infrastructure costs by $17K\+ per month through platform\-wide workload optimization, resource governance, and architecture improvements while maintaining SLA compliance for business\-critical systems

Graduate Engineering Trainee at PayU, Jun 2025 \- Dec 2025 · 7 mos, Pune City, Maharashtra, India, • Designed and implemented the Daily Settlement Engine for automated payment reconciliation and settlement workflows, improving settlement accuracy by 35%, reducing storage redundancy by 40%, and enabling reliable downstream financial reporting • Built a Kafka\-driven transaction orchestration platform integrating external BBPS systems, reliably processing 40,000\+ transactions/hour through asynchronous event\-driven workflows and fault\-tolerant services • Built an LLM\-powered support system, automating 40% of customer queries while improving resolution accuracy by 35% and reducing resolution time by 25%\.

## Education

Bachelor of Technology \- BTech, Artificial Intelligence and Data Science, Vishwakarma Institute of information technology

12th HSC, Science, St\. Paul's Jr\. College of Science

## Public links

- github: https://github\.com/godseritesh
- leetcode: https://leetcode\.com/u/godse\-ritesh/

[View the original profile](https://tal.club/meet/ritesh-godse)

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