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Sri Rajendra Dabburi

Software Engineer | Backend, Full Stack, Cloud and Applied AI • Overland Park, KS • s******************@gmail.com • 913****270 • drivetube.ai/•••••

Professional Summary

Software Engineer with 4+ years of experience building backend microservices, full‑stack features, cloud integrations, and applied AI tooling across healthcare, payments, and evaluation systems. Strongly experienced in Java and Spring Boot modernization, C#/.NET services, and TypeScript frontend modules; implemented and upgraded more than 30 microservices while preserving API contracts. Practiced in identity and access management using Keycloak, OAuth 2.0, OpenID Connect, SAML and FIDO2; worked on Kafka integrations for reliable message processing. Applied Python to build reproducible evaluation and RAG pipelines (Meta Muse, embeddings) and contributed Node.js frontend/back-end integrations. Comfortable with AWS (EC2, S3, Lambda), Docker, Gradle, Git-based CI/CD and observability tooling (Kibana, Dynatrace, CloudWatch). Focuses on clear API contracts, reproducible investigations, and pragmatic automation.

Technical Skills

Programming Language: Java,Python,C#,TypeScript,17,21
Frontend Technologies: HTML,CSS,Angular
Backend Technologies: Spring Boot,Spring Security,Node.js
Cloud Platforms: Amazon Web Services,EC2,S3,Lambda
Version Control & Development Tools: Git
DevOps & Infrastructure: Continuous Integration,Continuous Deployment,GitOps
API & Integrations: Swagger,Postman,JUnit
Messaging & Monitoring: Kibana,Dynatrace,CloudWatch,Apache Kafka
Data Analysis & Visualization: Tableau
Machine Learning & AI: Meta Muse
Generative AI & LLMs: Retrieval-Augmented Generation,3
Identity & Access Management (IAM): Keycloak,OAuth 2.0,OpenID Connect,SAML,FIDO2

Work Experience

Meta
Software Engineer
Aug 2025 – Present
Applied AI evaluation and automation supporting model and agent analysis, plus web-facing integrations for evaluation tooling.
Tech Stack: Python, Meta Muse, Retrieval-augmented generation, Node.js, Git, GitOps, CI, CD
  • Developed Python automation to evaluate AI agent workflows (Meta Muse), implementing structured parsing, validation, and reproducible evaluation pipelines.
  • Designed explicit task inputs, constraints, allowed actions, and completion criteria to make agent evaluation decisions consistent and explainable.
  • Built data-processing utilities in Python to normalize structured and unstructured inputs, isolating parsing, validation, and transformation for faster investigations.
  • Assessed retrieval-augmented generation workflows and tuned chunking and retrieval heuristics to separate retrieval defects from generation faults.
  • Reviewed multi-step agent behavior and tool integration, instrumenting error visibility and stopping conditions so incomplete actions remain observable during evaluation.
  • Delivered Node.js and frontend components for web-facing integrations, tracing asynchronous requests and validating API contracts across UI and backend.
  • Applied Git-based development, GitOps practices, and CI/CD to version evaluation configurations; documented reproduction steps and technical trade-offs for investigation handoff.
DaVita Kidney Care
Software Developer
Aug 2023 – Jul 2025
Healthcare microservices and clinical integrations delivering physician workflows, identity management, reporting, and full‑stack features.
Tech Stack: Java 11, 17, 21, Spring Boot 2, 3, Spring Security, C#, Keycloak, OAuth 2.0, OpenID Connect, SAML 2.0, FIDO2, Kafka, JUnit, Postman, Swagger, Kibana, Dynatrace, Tableau
  • Modernized more than 30 microservices across Java 11→17/21 and upgraded Spring Boot 2→3 while preserving existing clinical API contracts and startup behavior.
  • Implemented OAuth 2.0 and Keycloak integration with Spring Security to enforce role-based and facility-scoped authorization across services.
  • Integrated OpenID Connect and SAML 2.0 identity providers and extended Keycloak with plugins to support OTP, FIDO2 passkeys, and smart-card authentication.
  • Developed Java and C# REST APIs for physician and clinical workflows; validated endpoints with Postman and documented contracts using Swagger to preserve data integrity.
  • Refactored mapping and deduplication logic into focused components and authored JUnit tests for business rules and transformations to improve maintainability.
  • Developed monthly visit summaries and clinical reporting pipelines from retrieval through transformation to PDF output; produced Tableau dashboards for clinical visibility.
  • Investigated Kafka integration flows for message ordering, retry semantics, and delayed processing to prevent duplicate clinical state transitions.
  • Instrumented observability with Kibana and Dynatrace to isolate database access patterns and separate application processing from downstream latency.
Amazon
Software Development Engineer
Aug 2022 – Aug 2023
Backend services for checkout and payment flows, TypeScript modules, and AWS-based deployments and monitoring.
Tech Stack: C#, TypeScript, CloudWatch, Git, CI, CD
  • Developed Java and C# backend components for checkout and payment workflows, aligning implementations to authoritative service data and business rules.
  • Translated product requirements into API contracts and test scenarios; participated in Git-based development and CI/CD pipelines to validate and deploy payment changes.
  • Separated input validation, business logic, and network communication via object-oriented design to make payment rules independently testable.
  • Implemented TypeScript modules with explicit types and runtime guards to validate external data at service boundaries.
  • Investigated tenant- and region-specific configuration differences, reproducing scenarios to separate configuration issues from code defects.
  • Deployed and integrated services on AWS (EC2, S3, Lambda) and used CloudWatch to trace requests and focus runtime debugging.
  • Analyzed retry and idempotency behavior in payment flows to reason about repeated requests and avoid duplicate order processing.

Education

University of Central Missouri
Bachelor of Science in Computer Science • Warrensburg, MO, USA • May 2022

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