Prem Prakash

Software Engineer

Noida, Uttar Pradesh, India4 yrs 11 mos experience

Key Highlights

Reduced task execution time by 60% through Kafka integration.
Automated IMPS and AEPS transactions, cutting operational costs by 50%.
Designed scalable middleware microservices for third-party integrations.

Stackforce AI infers this person is a Fintech Backend Engineer with expertise in microservices and API development.

Contact

Skills

Core Skills

MicroservicesSpring FrameworkDatabase Management System (dbms)

Other Skills

AEPSAPIsAlgorithmsAmazon S3Apache Messaging Queue KafkaC (Programming Language)C++CDNCDN cachingCSVCore JavaData StructuresData structures and algorithmDatabasesElasticsearch

About

At Paytm Money, our focus is on architecting robust financial solutions that stand the test of scale and efficiency, thanks to a strong foundation in high-level and low-level design. The education I received at the National Institute of Technology, Patna, has been crucial, enabling us to implement impactful backend development that powers our fintech innovations. Since joining the Paytm family, first at Paytm Payments Bank and now at Paytm Money, we've been dedicated to enhancing user experiences through streamlined operations. My expertise in the Spring Framework contributes to our collective pursuit of excellence and underscores our team's influence on the digital financial services landscape.

Experience

Birdeye

Sr software engineer

Apr 2025 – Present · 11 mos · New York, United States · Remote

Paytm

Software Engineer

Dec 2023 – Nov 2024 · 11 mos · Noida, Uttar Pradesh, India · Remote

Integrating Apache Messaging Queue Kafka for asynchronous file processing, reducing
task execution time by 60%.
Enhanced service functionality by developing flows for UPI ,processing 1 million
transactions per day.
Automated process for IMPS and AEPS transactions, which resulting in a 50%
reduction in operational expenses.
Optimized the previous close price update process, leveraging CSV data from Amazon
S3, which reduced error rates by 30% and eliminated manual queries.
Integrated Propfund Update API in the FO Dashboard for seamless Redis updates.
Implemented CDN caching for API responses, reducing latency by 95.7%, remarkably
enhancing performance for large datasets.
Designed and developed a scalable middleware microservice to integrate all thirdparty AP

Apache Messaging Queue KafkaUPIIMPSAEPSCSVAmazon S3+5

Paytm payments bank

Software Engineer

Dec 2023 – Mar 2024 · 3 mos · Noida, Uttar Pradesh, India · Remote

Jio

Software Engineer

Mar 2023 – Dec 2023 · 9 mos · Navi Mumbai, Maharashtra, India · Remote

Developed REST APIs using Java and Spring Boot for JioMart, enabling features like
credit/debit/refund transaction status and wallet transaction history for the past six
months.
Optimize multiple SQL Query by applying indexing.
Using Redis as a caching layer reduces costs by minimizing redundant third-party API calls.
It improves performance, lowers latency, and avoids exceeding API rate limits. A cachefirst approach ensures the application checks Redis before making an API request,
optimizing efficiency

REST APIsJavaSpring BootSQLRedisSpring Framework+1

Zensar technologies

Sr. Software Engineer

Nov 2020 – Mar 2023 · 2 yrs 4 mos · Hyderabad, Telangana, India · Remote

Back-end development using Java and Spring Boot to create APIs for non-Cisco user login via mail OTP.
Engineered an OTP-based login API for non-Cisco users, ensuring secure access to applications.
Developed APIs for sending feedback via email, and creating downloadable Excel files, enhancing user experience and
system interoperability.
Designed microservices for CRUD operations and searching text, enabling efficient data management and scalability.

JavaSpring BootAPIsExcelSpring FrameworkMicroservices

National institute of technology , patna

Project Intern

Jan 2020 – Apr 2020 · 3 mos · Patna, Bihar, India

Project Overview: Real-Time E-commerce Analytics System
Tech Stack:
Kafka: Handles event-driven communication and real-time streaming.
Redis: Caching layer for quick data access and session management.
Elasticsearch: Fast search and analytics engine.
CDN (Content Delivery Network): Optimizes static content delivery for performance.
Use Case:
A real-time e-commerce analytics platform that tracks user activity, processes logs, and provides insights while ensuring fast search and content delivery.