Prakash Choudhary

About Prakash Choudhary

I’m a backend and distributed systems engineer with 3+ years of experience building reliable, scalable platforms that solve real business problems. At Oracle, I’ve led the design and development of enterprise systems focused on automation, high availability, and large-scale data workflows.Recently, I architected RAPID RFP, a production Generative AI platform that reduced RFP turnaround from weeks to under 2 days, replacing third-party tooling and delivering ~$500K+ in annual savings. I designed durable event-driven workflows, background processing systems with Redis worker pools (~99.9% uptime), and streaming pipelines that improved time-to-first-response by ~50%. The platform is now used by senior leadership across the organization to accelerate strategic deals.I’ve also built a zero-downtime Exadata migration orchestration platform that reduced manual effort by ~95% and enabled safe, concurrent infrastructure migrations across environments. My work focuses heavily on concurrency, fault tolerance, retry-safe execution, and production reliability.I enjoy solving complex system design problems, especially around distributed workflows, high availability, and data-intensive systems. I care about clean architecture, measurable impact, and building systems that are resilient in real-world conditions.I’m particularly interested in backend, infrastructure, and AI platform roles where I can work on large-scale systems and contribute to engineering culture and technical leadership.Core areas: Distributed systems | System design | Java | Python | Event-driven architectures | Reliability | RAG & LLM platforms | Cloud infrastructure.

Experience

1. Senior Member of Technical Staff

   Oracle

   Sep 2024 — Present · IN

   RAPID RFP Enterprise Generative AI Platform1. Architected and delivered a production Generative AI system that reduced RFP turnaround from 4 weeks to under 2 days (~90% faster), replacing multiple third-party tools and driving ~$500K+ in annual savings.2. Designed durable Run+Event Log architecture persisted in Oracle DB to support long-running LLM workflows with replay, auditability, and crash recovery, reduced debugging time by ~80%.3. Built a reliable background processing layer using Redis + RQ worker pools with retry-safe execution and horizontal scaling, maintaining ~99.9% system uptime.4. Implemented SSE streaming backed by Redis Streams for token-level incremental delivery and resumable sessions, improving user-perceived time-to-first-response by ~50%.5. Architected fine-grained multitenant RBAC and collaborative-edit safeguards to enforce tenant isolation and eliminate cross-tenant data exposure risks.6. Engineered a scalable web-crawling + RAG ingestion pipeline, indexing 30k+ documents into Oracle Vector DB and improving answer precision from ~60% to ~90% via structured chunking and retrieval re-ranking.7. Platform adopted by 20+ EVPs and 50+ sales leaders, enabled faster deal response and a projected 60% increase in RFP win rate.

Education

• Indian Institute of Technology, Kanpur

  Bachelor of Technology - BTech, electrical engineering

  2018 — 2022