Bhuvan B S

Software Engineer

Bangalore, Karnataka, India2 yrs 8 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in Java and Microservices architecture.
Proven track record in Fintech payment solutions.
Strong collaboration skills in cross-functional teams.

Stackforce AI infers this person is a Fintech Fullstack Developer with expertise in scalable microservices and payment systems.

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Skills

Core Skills

JavaMicroservicesMongodbAi

Other Skills

Spring BootREST APIsSQLDockerKubernetesRedisKafkaApache TomcatLinuxSpring MVCOracle DatabaseIBM Db2Back-end OperationsObject-Oriented Programming (OOP)Software Development

About

Starting out as a BE graduate at Avanseus has been a blend of growth and technical refinement for me. The organizational needs have honed my grasp of Java, MongoDB, DBMS, SQL, C++ among other skills. At Avanseus, collaboration with skilled peers has taught me the importance of team work and communication.

Experience

2 yrs 8 mos

Total Experience

1 yr 11 mos

Average Tenure

9 mos

Current Experience

Federal operations and services ltd (fedserv)

Software Engineer

Sep 2025 – Present · 9 mos · Bangalore · On-site

Software Engineer – FedServ | Federal Bank, Bangalore
Project : FedMobile and FedUPI Payments System
Working on banking and digital payment solutions for FEDMOBILE & FEDUPI applications with a focus on scalable microservices and UPI payment systems.
Key Responsibilities & Contributions :
1. Develop and maintain microservices-based banking applications using Java 8/17, Spring Boot, REST APIs, JDBC, Kafka, Redis, and SQL.
2. Implemented Add Money flow and enhanced UPI features (VPA management, Suggested Virtual ID) to improve user experience.
3. Integrated NPCI UPI APIs for secure end-to-end payment processing and transaction flows.
4. Improved performance with Redis caching and strengthened security with JWT-based authentication.
5. Built JUnit tests, supported SIT/UAT defect fixes, and assisted production deployments in collaboration with cross-functional teams.
6. Supported containerized deployments using Docker, Kubernetes, and Red Hat OpenShift (OCP), delivered RuPay CC enhancements and resolved production issues.

JavaSpring BootMicroservicesREST APIsSQLDocker+3

Avanseus

2 roles

Software Engineer

Aug 2022 – Jul 2024 · 1 yr 11 mos · India · Remote

Project 1: AIML based network fault predictions for Airtel PAN India Telecommunication Network
Predicted failures in Airtel Network by processing data across different domains and technologies (Optics, IP, Metro
core, Enterprise, Infra) and achieved a 70% prediction rate.
Integrated MongoDB with Java to perform operations like CRUD, Aggregation, Indexing, JavaScript.
Implemented Java Schedular classes to automate AI based predictions and data parsers to load historical data.
Configured Apache tomcats for all instances of the product and deployed on LINUX
Project 2: Customer experience backend feature using Cognitive Assistant for Networks (CAN)
Created web server with statistics on prediction accuracy, ticket processing, alarm re-occurrences, stats download
capability.
Backend queries from MongoDB as per different analytics queries from frontend UI.
Implemented interface methods between backend and frontend.
Project 3: Integration & Data Collection - NTT
Collected data for processing and AI prediction from NTT customer using ELK APIs