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Mrudula Devaguptapu - AI Engineer in United States

Mrudula Devaguptapu

Mid-Level Software/AI Engineer specializing in backend systems, data pipelines, and RAG automation

360DMMC ConsultingSaint Louis UniversityUnited States3 Years ExperienceMid LevelWorks On-Site

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About

Backend engineer with experience modernizing high-traffic subscription and payment systems (TCS) by moving to event-driven Spring Boot microservices with Kafka, adding idempotency/state management to eliminate duplicate processing. Built and scaled FastAPI services for AI automation workflows (360DMMC) with versioned contracts, JWT security, and strong observability, and has led live refactors using feature flags, parallel runs, and data reconciliation.

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Key Strengths

  • Evolved a high-traffic subscription backend from synchronous coupling to event-driven microservices (Kafka) to improve scalability and resilience
  • Strong reliability engineering: idempotency + strict state validation to prevent duplicate processing/charges during retries
  • Debugging and observability in distributed systems using correlation IDs, structured logging, and end-to-end tracing
  • API design for frontend enablement: versioned FastAPI endpoints with Pydantic validation and predictable contracts
  • Production migration/refactor execution with feature flags, backward compatibility, parallel runs, and reconciliation checks
  • Defense-in-depth security: JWT auth with role/claim checks plus database-enforced row-level security

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Experience

AI Engineer360DMMC Consulting · Sep 2025 – Present
Software Engineer InternAscus Tech · May 2025 – Aug 2025internship
Software EngineerTata Consultancy Services · Aug 2021 – Dec 2023

Education

Saint Louis Universitymaster, Computer Science (2025)
Vignan's Institute of Information Technologybachelor, Computer Science & Engineering (2021)

Languages

English

Certifications

Microsoft Azure Fundamentals (AZ-900)Google Associate Cloud Engineer

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Mrudula DevaguptapuMid-Level Software/AI Engineer specializing in backend systems, data pipelines, and RAG automation