Priyanshu suman profile photo 1 on Tal

Priyanshu suman

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

Bengaluru

3+ years of work experience

Rupeek
Jun 20251 yr 3 mosPresent

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.
Senslyze
Aug 202411 mosJun 2025

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.
Yubi
Feb 20235 mosJun 2023

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.
Jupiter
Mar 202211 mosJan 2023

• 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.

Priyanshu’s AI Stack

antigravity
antigravity
claude code
claude code
codex
codex
cursor
cursor
notebooklm
notebooklm
Bolt.new
Bolt.new

Education

Lovely Professional University

Bachelor of Technology - BTech, Computer Science

Lovely Professional University

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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