Venkata Krishna Ravi

About Venkata Krishna Ravi

Software engineer with 3+ years building production distributed systems and AI platforms, specializing in real-time data processing and event-driven architectures at scale. Strong foundation in full-stack development (Next.js, React, FastAPI) and LLM engineering (RAG, LangChain, prompt optimization).Real-Time Systems & Event Streaming:Designed and operated streaming data pipelines processing 1-2 million events daily for real-time analytics platforms serving 2M+ users. Built fault-tolerant systems with automatic failover, distributed consensus algorithms, and stateful stream processing. Tech stack: Kafka, Java, Spring Boot, PostgreSQL, Redis.Production Systems Ownership:Led migration from monolithic architecture to Spring Boot microservices with independent deployments, improving throughput by 60%. Implemented distributed tracing with OpenTelemetry, multi-layer caching strategies, and database optimizations that reduced p95 latency by 40-45% during peak traffic.AI Platforms & LLM Engineering:Built 0-to-1 AI-powered applications using FastAPI and Next.js with agent execution tracking and real-time dashboards. Developed RAG-powered tools using LangChain and OpenAI APIs for document summarization and semantic search. Implemented LLM-assisted data pipelines with few-shot prompting, reducing integration time from weeks to days.Full-Stack Capabilities:Shipped production features end-to-end from backend APIs to frontend UX. Built serverless ingestion pipelines (AWS Lambda, Node.js), React/Next.js applications with auth flows and state management, and admin dashboards for operations teams. Comfortable working across the entire stack.Technical Foundation:Java | Spring Boot | Kafka | Distributed Systems | PostgreSQL | Redis | Microservices | Python | FastAPI | Next.js | React | LangChain | RAG | AWS | Docker | Kubernetes | OpenTelemetryCurrently seeking backend or full-stack roles where I can design scalable distributed systems, build AI platforms and LLM-powered features, and own production services end-to-end.

Experience

1. Software Engineer

   Stealth Startup

   Mar 2026 — Present · San Jose, CA, US

   Developing backend microservices in Go for a distributed SaaS platform.Building scalable APIs and services with focus on performance and reliability.Working with distributed systems, databases, and cloud infrastructure.Contributing to system design and architecture decisions in a fast-paced startup environment.

Education

• Stony Brook University

  Master of Science - MS, Computer Science

• Indian Institute of Technology Hyderabad

  Bachelor of Technology - BTech, Computer Science