---
title: "Priyanshu suman - Software Engineer in Bengaluru | Tal"
description: "Meet Priyanshu suman, Software Engineer @ Rupeek | Building scalable microservices | Spring Boot, Kafka, Redis, React | Ex-Senslyze, Yubi, Jupiter Money based in Bengaluru. AI stack includes antigravity, claude code, and codex."
image: "https://tal.club/meet/priyanshu-suman/share-image"
---

# Priyanshu suman on Tal

## Headline

Software Engineer @ Rupeek \| Building scalable microservices \| Spring Boot, Kafka, Redis, React \| Ex\-Senslyze, Yubi, Jupiter Money

## About

Software Engineer with experience building scalable backend systems and real\-time applications in fintech and data\-driven platforms\. Currently working at Rupeek, where I design and develop microservices powering real\-time bureau score retrieval and multi\-lender pricing systems\. My work directly supports automated credit decisioning for 100\+ daily loan applications while reducing latency by 1\.5 seconds\. Previously at Senslyze, I improved system performance by migrating databases from MongoDB to PostgreSQL \(45% faster queries\) and built Kafka\-based pipelines capable of processing data for up to a million users\. I have also worked on payment integrations \(Razorpay\) and backend optimizations improving platform efficiency by 40%\. I enjoy working on distributed systems, performance optimization, and real\-time architectures using Spring Boot, Node\.js, Kafka, Redis, and AWS\. Tech Stack: Spring Boot, Node\.js, React, TypeScript, Kafka, Redis, PostgreSQL, Docker, AWS Currently looking for opportunities to work on high\-scale backend systems and challenging engineering problems\.

## Location

Bengaluru

## AI stack

antigravity

claude code

codex

cursor

notebooklm

Bolt\.new

## Work experience

Software Engineer at Rupeek, Jun 2025 \- Present · 1 yr 3 mos, Designed and implemented scalable backend services in a microservices architecture to support real\-time bureau score retrieval and multi\-lender pricing, enabling efficient credit decisioning for 100\+ daily loan applications and reducing system latency by 1\.5 seconds per transaction\. Developed complex transactional workflows in Spring Boot services for pledge card processing and loan applications, achieving 99\.5% data consistency and reducing manual intervention by 80% through automated rollback mechanisms\. Designed a circular proof collection architecture supporting multiple proof types, with Zeebe integration and built\-in retry logic, driving a 25% increase in bank transaction rate across all lenders\. Onboarded 7 new affiliates and external partners, resulting in a 20% increase in lead generation through seamless integration of APIs and backend services\.

Associate Software Engineer at Senslyze, Aug 2024 \- Jun 2025 · 11 mos, Migrated complete application from MongoDB to PostgreSQL, improving data visualization query performance by 45% and reducing analytics processing time by 30%\. Engineered an automated video thumbnail generation and backend optimization solution, enhancing platform performance by 40% through advanced image processing and efficient bulk card operation techniques\. Integrated a payment system allowing users to input amounts and generate QR codes, facilitating seamless transactions through integration with the Razorpay gateway with a 30% faster time\-to\-transact for users\. Architected a Kafka\-based pipeline capable of handling CSV uploads from up to a million users, processing and sending data in chunks to the Meta server for real\-time ad targeting\.

Software Engineer Intern at Yubi, Feb 2023 \- Jun 2023 · 5 mos, Chennai, Tamil Nadu, India, • Automated report creation for banks using Apache Superset, saving approximately 35 hours per week, while enhancing the functionality and user interaction through custom component integration\. • Addressed critical UI bugs to enhance data entry accuracy by 20% and reduce errors by 30%, while improving the code reliability and test coverage by writing comprehensive test cases with React Testing Library\. • Implemented drag\-and\-drop functionality in React, improving user experience and interface usability\.

SDE Intern at Jupiter, Mar 2022 \- Jan 2023 · 11 mos, • Collaborated with the core payments team to introduce user and merchant limits, enhancing the system security for 100% of the user base\. • Streamlined the user verification process by creating an SMS verification backend API, and enhancing the auto\-pay mechanism to increase efficiency and reduce manual intervention\. • Reduced payment\-related support tickets by 80% by addressing bugs and creating dashboards, while improving the data management and preventing accidental data loss through the implementation of a soft delete feature in the payees tab\.

## Education

Bachelor of Technology \- BTech, Computer Science, Lovely Professional University

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

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