Vibhor Kumar

Software Engineer

South Delhi, Delhi, India4 yrs 5 mos experience

Key Highlights

Expert in building scalable backend systems with AWS.
Proven track record in optimizing performance for high-volume applications.
Strong foundation in software engineering from IIIT Delhi.

Stackforce AI infers this person is a Backend Engineer specializing in Fintech and SaaS solutions.

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Skills

Core Skills

C#C++AwsPythonJavaSpring-bootSpringboot

Other Skills

NextJsStep-FunctionsAWS LambdasAWS-CDKKafkaJava Database Connectivity (JDBC)ASP.NETMySQLPowershellCloud ComputingAmazon DynamodbAmazon SQSRedisReact.jsTypeScript

About

Eventbrite empowers users with seamless experiences through innovative backend solutions driven by the CS-CX team. As a Software Engineer II, contributions include leveraging Java Spring Boot, Redis, and Kafka for scalable, high-performance systems that enhance customer satisfaction. Previous work at Paytm Lending involved building payment and settlement workflows within a microservices architecture, showcasing expertise with AWS and asynchronous communication. A strong academic foundation from IIIT Delhi complements practical skills, ensuring impactful and efficient software development.

Experience

4 yrs 5 mos

Total Experience

1 yr 4 mos

Average Tenure

5 mos

Current Experience

Microsoft

Software Engineer II

Dec 2025 – Present · 5 mos · Hyderabad · On-site

ODSP CORE Engineering IDC

C#C++

Eventbrite

Software Engineer II

Mar 2024 – Sep 2025 · 1 yr 6 mos · Hyderabad, Telangana, India · Remote

As a software developer in the CS-CX team at Eventbrite, designed and implemented end-to-end workflows for order and ticket data ingestion and retrieval, integrating SNS-triggered Lambda functions, DynamoDB, and gRPC calls to downstream payment services, achieving more than 95% success rate in ticket identification and retrieval.
Enhanced the Content Moderation and Report-to-Event pipeline with entity tagging and policy triaging using Python, AWS Step-Functions, Lambda, DynamoDB.
Optimized performance and scalability of the system with AWS-CDK, implementing AWS-WAF Captcha and rate-limiting to ensure security and prevent abuse, handling tens of thousands of ticket retrieval requests weekly with minimal downtime and robust fraud detection mechanisms.
Tech Stack: Python, NextJs, AWS, Step-Functions, AWS Lambdas etc

PythonNextJsAWSStep-FunctionsAWS Lambdas

Paytm

2 roles

Software Engineer

Jun 2022 – Feb 2024 · 1 yr 8 mos · Noida, Uttar Pradesh, India · Remote

Worked as a Backend Developer at Paytm Lending. Developed and implemented features for Lender Management System for various Lenders, including Customer Onboarding, Bill Payment, Customer Postpaid Profile, and Check Balance API using Java, Spring-boot and AWS. Contributed to the system serving over 1 million Postpaid customers.
Designed and deployed Python-based AWS Lambda for efficient interaction with bulk APIs, enhancing data retrieval speed and resource utilization upon AWS S3 trigger.
My work on Paytm Postpaid involved developing and refining payment, refund, and settlement workflows within a micro-services architecture, leveraging Kafka for efficient asynchronous communication.
Tech stack: Java, Spring-boot, Kafka, AWS stack etc

JavaSpring-bootKafkaAWS

Software Engineer Intern

Jan 2022 – May 2022 · 4 mos · Noida, Uttar Pradesh, India · Remote

Worked at Lending Management System
Tech Stack: Java, Springboot, AWS

JavaSpringbootAWS

Wipro

Project Engineer

Nov 2019 – Sep 2020 · 10 mos · Bengaluru South, Karnataka, India · On-site

Implemented algorithms optimized code for enhanced performace, and crafted efficient SQL queries, leading to a notable 30% reduction in query execution time. Successfully streamlined database retrieval and management processes.
Involved in unit testing, debugging and maintenance and increased the test coverage upto 70% on the codebase using Mockito, JUnit and various java testing libraries.
Worked on database migration and optimisation.
Tech Stack: Java, Springboot, Redis, Mainframe, DB2

JavaJava Database Connectivity (JDBC)