Full-stack product development
Java and Spring Boot services, React interfaces, cloud workflows, data models, incident ownership, and the operational detail that keeps products useful.
Go deeper ↗Full-stack engineer · Hyderabad
I’m Devi Prasad Choudhary Ratnala—better known online as rdprassy. I build full-stack products with Java, Spring Boot, React, cloud platforms, and an expanding AI engineering toolkit.
Ten narrated micro-films turn products, enterprise systems, AI workflows, and research into visual engineering stories—each in under a minute.
The work is technical. The perspective comes from competition, storytelling, sport, community, and a habit of learning across boundaries.
Java and Spring Boot services, React interfaces, cloud workflows, data models, incident ownership, and the operational detail that keeps products useful.
Go deeper ↗RAG, agents, MCP, QLoRA, AI-assisted application building, and Azure AI foundations.
Open the AI case study ↗Fast reduction, proof, implementation, and edge-case thinking in C++.
See the mindset ↗Technical notes, essays, narrative writing, rap, and ideas that need a different medium.
Read notes ↗University Kho-Kho, South Zone Handball, and lessons that still shape how I work.
Enter the field ↗Three public deployments show the range from AI-assisted delivery intelligence to creator infrastructure and a focused Web3 utility.
Requirements alignment, evidence-backed gaps, and delivery traceability in one workspace.
View product story ↗
A no-code ERC-721 launchpad with allowlists, analytics, and token gating.
View product story ↗
MetaMask connection, direct address lookup, and resilient RPC configuration.
View product story ↗Work spanning enterprise analytics, cloud maintenance, operational reviews, insurance calculations, platform microservices, and biometric research.
Recent work connects models to business decisions, private knowledge, and operational reliability—with measurable usage and clear system boundaries.
An AI-powered analytics platform supporting approximately 50 sales and operations stakeholders across 5+ retail accounts, with an estimated 25% improvement in analytics turnaround.
A context-grounded Q&A workflow indexing approximately 1,500 uploaded documents and serving 300+ monthly questions through retrieval and semantic search.
An agentic system monitoring 20+ data pipelines and triaging approximately 50 failures per month, with automated alerts and a reported 10% reduction in incident response time.
The public record shows product ownership, long-term learning, incident responsibility, and code that can be inspected. Named recommendations belong here only when they can be attributed accurately.
Documented work spans leadership reporting, cloud maintenance, enterprise analytics, insurance calculations, platform services, and biometric research.
Read case studies ↗High-severity application incidents were carried beyond recovery through root-cause resolution and durable fixes.
See experience ↗GitHub repositories, technical writing, cloud credentials, and AI engineering tracks make continued growth visible.
Browse credentials ↗I’m strongest where product thinking, backend depth, frontend delivery, cloud operations, and clear communication overlap.
“A career is a growing capacity to solve useful problems—and to explain the solution clearly.”
Let’s talk about product engineering, full-stack systems, AI-enabled workflows, or the next ambitious thing worth building.