Lead full-stack engineer
Java and Spring services, React and TypeScript interfaces, data design, cloud integration, CI/CD, and production responsibility.
60-second professional brief
Full-stack depth.
Full-stack depth.
AI-forward judgment.
Devi Prasad Choudhary Ratnala is a product-minded engineer with 10+ years across Java, Spring Boot, React, enterprise systems, cloud workflows, production ownership, and applied AI.
10+ yearsengineering experience
≈50 peoplereported Retail360 stakeholders
≈1,500 docsreported retrieval corpus
20+ pipelinesreported monitoring scope
Where the profile is strongest
Roles that reward breadth without sacrificing depth.
The common thread is ownership: understand the product, shape the system, deliver across the stack, and stay with it in production.
Applied AI engineer
Retrieval systems, grounded answers, evaluation, agent-assisted operations, observability, and human-controlled workflows.
Product or platform engineer
Enterprise workflows where service contracts, auditability, failure modes, developer experience, and user value must stay connected.
Three flagship stories
Browse all work ↗
Enough evidence for the next question.
Each case study states the problem, engineering contribution, system shape, outcome, and evidence boundary.
01 · Open source AI
RAG Studio
Hybrid retrieval, reciprocal-rank fusion, reranking, grounded citations, abstention, traces, and executable evaluation.
Inspect the system ↗ 02 · Enterprise AIApplied AI operating model
Retail analytics, document intelligence, and agent-assisted pipeline reliability with public-safe outcome labels.
Read the case study ↗ 03 · Production ownershipAmazon Impact
AWS Lambda, DynamoDB, and React supporting a repeatable leadership operations view and durable incident resolution.
See the architecture ↗Career trajectory
Open complete timeline ↗
Enterprise delivery → product ownership → applied AI.
Experience spans regulated calculations, analytics tooling, cloud-maintenance workflows, leadership insight, platform services, and AI-enabled products.
2016–2018AXAInsurance calculation systems
2018–2020TeradataAnalytics platform tooling
2020–2021Oracle + AmazonCloud workflows and operations intelligence
2021 onwardPega + PepsiCoPlatform, product, and applied AI engineering
Trust and recommendations
Attributed evidence only.
This portfolio does not publish anonymous praise as professional proof. Named recommendations will appear only with attribution and permission.
Inspectable work
Live products, public repositories, narrated project films, technical artifacts, certifications, and public-safe case studies.
Explore the evidence ↗LinkedIn profile
Use LinkedIn for identity-linked career context and any recommendations shared by verified professional connections.
View LinkedIn ↗Consent before quotation
A reusable request and approval kit keeps future recommendations accurate, attributable, and approved before publication.
Read the standard ↗Continue with the format that fits your review.
Use the one-page AI résumé for a quick screen, the portfolio edition for detail, or contact me directly for an engineering conversation.