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I am Navya Valivati, a Software Development Engineer with 3+ years of experience building cloud-native, full-stack services and AI-powered features across AWS, Azure, and GCP. I excel in Java/Spring Boot, .NET, Python, React, and Node.js, and I enjoy scaling distributed systems with Kubernetes, Docker, Terraform, and CI/CD pipelines. I have hands-on experience with PostgreSQL, MySQL, MongoDB, Redis, Kafka, REST/gRPC/GraphQL APIs, and RAG systems (FAISS/Pinecone) using Bedrock/Azure OpenAI. I thrive on observable, secure, and well-tested solutions and am passionate about enterprise-grade feature development, Agile delivery, and AI-assisted development in global payment platforms.…I am Navya Valivati, a Software Development Engineer with 3+ years of experience building cloud-native, full-stack services and AI-powered features across AWS, Azure, and GCP. I excel in Java/Spring Boot, .NET, Python, React, and Node.js, and I enjoy scaling distributed systems with Kubernetes, Docker, Terraform, and CI/CD pipelines. I have hands-on experience with PostgreSQL, MySQL, MongoDB, Redis, Kafka, REST/gRPC/GraphQL APIs, and RAG systems (FAISS/Pinecone) using Bedrock/Azure OpenAI. I thrive on observable, secure, and well-tested solutions and am passionate about enterprise-grade feature development, Agile delivery, and AI-assisted development in global payment platforms.

Navya Valivati

Full Stack Developer, Back-End Developer, Front-End Developer, +4

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I am Navya Valivati, a Software Development Engineer with 3+ years of experience building cloud-native, full-stack services and AI-powered features across AWS, Azure, and GCP. I excel in Java/Spring Boot, .NET, Python, React, and Node.js, and I enjoy scaling distributed systems with Kubernetes, Docker, Terraform, and CI/CD pipelines. I have hands-on experience with PostgreSQL, MySQL, MongoDB, Redis, Kafka, REST/gRPC/GraphQL APIs, and RAG systems (FAISS/Pinecone) using Bedrock/Azure OpenAI. I thrive on observable, secure, and well-tested solutions and am passionate about enterprise-grade feature development, Agile delivery, and AI-assisted development in global payment platforms.…I am Navya Valivati, a Software Development Engineer with 3+ years of experience building cloud-native, full-stack services and AI-powered features across AWS, Azure, and GCP. I excel in Java/Spring Boot, .NET, Python, React, and Node.js, and I enjoy scaling distributed systems with Kubernetes, Docker, Terraform, and CI/CD pipelines. I have hands-on experience with PostgreSQL, MySQL, MongoDB, Redis, Kafka, REST/gRPC/GraphQL APIs, and RAG systems (FAISS/Pinecone) using Bedrock/Azure OpenAI. I thrive on observable, secure, and well-tested solutions and am passionate about enterprise-grade feature development, Agile delivery, and AI-assisted development in global payment platforms.

Available to hire

I am Navya Valivati, a Software Development Engineer with 3+ years of experience building cloud-native, full-stack services and AI-powered features across AWS, Azure, and GCP.

I excel in Java/Spring Boot, .NET, Python, React, and Node.js, and I enjoy scaling distributed systems with Kubernetes, Docker, Terraform, and CI/CD pipelines. I have hands-on experience with PostgreSQL, MySQL, MongoDB, Redis, Kafka, REST/gRPC/GraphQL APIs, and RAG systems (FAISS/Pinecone) using Bedrock/Azure OpenAI. I thrive on observable, secure, and well-tested solutions and am passionate about enterprise-grade feature development, Agile delivery, and AI-assisted development in global payment platforms.

Skills

Experience Level

Expert

Expert

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Expert

Expert

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Expert

Intermediate

Language

English

Fluent

Javanese

Advanced

Aragonese

Intermediate

Work Experience

Software Development Engineer at IBM

January 1, 2025 - November 3, 2025

Engineered enterprise-grade, high-throughput full-stack Java/Spring Boot services on AWS EKS backed by RDS (PostgreSQL, MySQL) + Redis, sustaining 1.2k RPS with p95 latency ~130 ms after query tuning and connection pooling. Delivered an internal RAG service (LangChain + pgvector on PostgreSQL, models via AWS Bedrock) for AI-assisted development, indexing Confluence/PDFs in S3, improving answer quality by 24% (RAGAS) and shortening support ticket resolution by 35%. Instituted OpenTelemetry tracing with Prometheus/Grafana dashboards and alerting, cut MTTR from 37 to 20 minutes by exposing slow queries and noisy dependencies. Automated blue/green releases using GitHub Actions, Helm, and Terraform modules, cutting rollout time from 25 to 10 minutes with rollback in under 2 minutes. Strengthened platform with OAuth2/OIDC + JWT rotation, enforcing least-privilege IAM policies and integrating Snyk/SonarQube to block critical issues pre-deploy. Built an internal React/Next.js + Redux admin con

IT/Research Graduate – Software Engineer at Missouri University of Science and Technology (S&T)

December 1, 2024 - December 1, 2024

Prototyped campus knowledge assistant using LangChain + pgvector with models on Vertex AI/Bedrock; implemented chunking, hybrid search, and re-ranking to boost factual accuracy by 22% on curated eval set. Exposed a FastAPI microservice with function calling to trigger student information endpoints, reducing manual helpdesk lookups by ~12 hours/week. Benchmarked 15+ prompts/pipelines with MLflow + LangSmith; added regression checks in CI to prevent prompt drift errors by 30%. Secured student data with PII redaction + ELK audit trails for privacy compliance and internal reviews by 40%.

Software Development Engineer at Planful

July 1, 2023 - July 1, 2023

Owned multi-tenant .NET microservices with Kafka messaging and PostgreSQL/NoSQL databases; introduced Redis caching and read replicas, lifting report throughput by 32%. Migrated legacy frontend to Angular/React component architecture, improving UI responsiveness for 1,500+ enterprise customers. Streamlined CI/CD with GitHub Actions + Kubernetes + Helm, tripling deployment frequency and reducing lead time by 20%. Implemented role-based access and audit logging using IAM concepts to support SOC2/SOX controls with deterministic change history. Instrumented services with OpenTelemetry traces and Grafana alerts, reducing on-call noise by 25% and MTTR from 50 to 22 minutes.

Software Development Engineer Intern at Planful

July 1, 2022 - July 1, 2022

Shipped REST endpoints and data access layers in Spring Boot/.NET, collaborated on API contracts, and integrated Postman contract tests in CI to prevent breaking changes. Authored unit tests with JUnit and NUnit, achieving up to 82% line coverage across two services. Automated 50+ UI regressions with Selenium and Cypress, reducing flakiness through test IDs and network stubbing. Assisted a data backfill using AWS Glue/Spark to migrate 5M records with idempotent checkpoints, cutting pipeline time by 40% compared to the original script.

IT/Research Graduate – Software Engineer at Missouri University of Science and Technology

August 1, 2024 - December 1, 2024

Prototyped campus knowledge assistant using LangChain + pgvector with Vertex AI/Bedrock models, implementing chunking, hybrid search, and re-ranking to boost factual accuracy. Exposed a FastAPI microservice with function calling to trigger student information endpoints, reducing manual helpdesk lookups. Benchmarked 15+ prompts/pipelines with MLflow + LangSmith and added CI regression checks to prevent prompt drift. Secured student data with PII redaction and ELK audit trails for privacy compliance, enabling successful internal reviews.

Software Development Engineer at Planful

July 1, 2022 - July 1, 2023

Owned multi-tenant .NET microservices with Kafka messaging and PostgreSQL/NoSQL databases, introduced Redis caching and read replicas to lift report throughput by 32%. Migrated legacy frontend to Angular/React component architecture to improve UI responsiveness for 1,500+ enterprise customers. Streamlined CI/CD with GitHub Actions + Kubernetes + Helm, tripling deployment frequency and reducing lead time by 20%. Implemented RBAC and audit logging using IAM concepts, supporting SOC2/SOX controls with deterministic change history. Instrumented services with OpenTelemetry traces and Grafana alerts, reducing on-call noise and MTTR from 50 to 22 minutes.

Software Development Engineer Intern at Planful

April 1, 2021 - July 1, 2022

Shipped REST endpoints and data access layers in Spring Boot/.NET, collaborating on API contracts and integrating Postman contract tests in CI to prevent breaking changes. Authored unit tests with JUnit/NUnit and set coverage thresholds, raising line coverage from 55% to 82% across two services. Automated 50+ UI regressions with Selenium and Cypress, mitigating flakiness with test IDs and network stubbing. Assisted a data backfill using AWS Glue/Spark to migrate 5M records with idempotent checkpoints, reducing pipeline time by 40%.