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Badri MadduBM
Looking for a job

Badri Maddu

@badrimaddu

I build scalable Java microservices and AI-powered enterprise backend solutions.

India
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What I'm looking for

I'm looking to build scalable distributed systems, cloud-native backend platforms, and AI-powered enterprise solutions using Java, Spring Boot, microservices, AWS, Kafka, and modern RAG architecture.

At Amdocs, I build enterprise telecom platforms for subscriber provisioning, catalog publishing, billing, quotations, and order management using Java, Spring Boot, Apache Kafka, Oracle, and WebLogic. I’ve automated event-driven order orchestration and catalog deployment, reducing turnaround time from days to under five hours and lowering feature onboarding effort by 40–50%.

Previously at BNP Paribas, I built a Java and Spring Boot data validation platform that reduced manual verification by over 70%. I also created a RAG-based compliance copilot with Spring AI, OpenAI, and PgVector, and a cloud invoice and bookkeeping platform with Redis caching and observability.

Experience

Work history, roles, and key accomplishments

AM
Current

Software Developer

Nov 2024 - Present (1 year 10 months)

Developed and enhanced enterprise-scale telecom platforms using Java, Spring Boot, Apache Kafka, Java EE, WebLogic, Oracle, and Oracle Tuxedo, supporting subscriber provisioning, catalog publishing, billing, quotations, and order management. Automated end-to-end order orchestration and catalog deployment workflows through event-driven microservices, reducing deployment turnaround time from days to

bnp paribas logoBP

Software engineer intern

bnp paribas

Jan 2024 - Oct 2024 (9 months)

Software engineer intern at BNP Paribas

Education

Degrees, certifications, and relevant coursework

SRM Institute of Science and Technology logoST

SRM Institute of Science and Technology

Bachelor of Technology, Computer Science Engineering (AI-ML)

2020 - 2024

Grade: 9.63/10

Pursued a Bachelor of Technology in Computer Science Engineering with a specialization in Artificial Intelligence and Machine Learning, achieving a CGPA of 9.63/10.

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