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Chetan UserCU
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Chetan User

@chetanuser4

I build scalable payment, AI, and data-intensive backend systems.

India
Message

I've led delivery of scalable payment platforms at PayPay, including 15+ Spring Boot microservices processing 60,000+ daily money-transfer transactions across QR payment flows.

I owned payment-feature design and delivery across teams, integrated PayPay with PayPay Bank for consumer payouts, and built reconciliation jobs that validated data across distributed services. I also resolved Kafka message-drop issues by implementing recovery processes.

At Vlabs.ai, I built commercially deployed computer-vision, quarantine-tracking, and document-intelligence products serving 10,000+ users or customers. My work included face recognition, GPS-based monitoring, PDF information extraction, and ticket classification.

I'm currently managing a team of four engineers while leading client-facing backend architecture, technical planning, delivery, and production readiness. I stay hands-on with Java, Kotlin, Python, Spring Boot, AWS, Kafka, distributed systems, and AI applications.

Experience

Work history, roles, and key accomplishments

WI
Current

Engineering Manager / Consultant

WFC - India

Dec 2025 - Present (9 months)

Collaborates with clients and cross-functional stakeholders to clarify requirements, manage technical risks, and ensure reliable delivery. Designs scalable backend systems and service integrations using Java, Python, Spring Boot, cloud services, databases, and event-driven architecture.

PayPay Corporation logoPC

Senior Backend Engineer

Aug 2022 - Dec 2025 (3 years 4 months)

Developed and enhanced 15+ Spring Boot microservices using Java and Kotlin, supporting Inbound Transfers and processing 60,000+ daily money-transfer transactions. Facilitated integration with PayPay Bank for consumer payout transactions and designed 7+ reconciliation jobs to validate data integrity.

II

Teaching Assistant

Indian Institute of Science (IISc)

Aug 2014 - Dec 2014 (4 months)

Shared responsibilities for grading assignments and organizing examinations for the Design and Analysis of Algorithms course.

Education

Degrees, certifications, and relevant coursework

IS

Indian Institute of Science

M.S., Computer Science and Engineering

Grade: 7.0/8.0

M.S. in Computer Science and Engineering from Indian Institute of Science, Bengaluru, with a GPA of 7.0/8.0.

SG

SGSITS

B.E., Information Technology

Grade: 70.9%

B.E. in Information Technology from SGSITS, Indore, with 70.9% marks.

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