Vinay Kumar Reddy

Software Engineer • AI Engineer • GenAI Systems Builder

Bengaluru, India • [email protected]

I am a software engineer focused on building real GenAI systems, not demos.

My work revolves around designing LLM pipelines, AI agents, and backend-heavy architectures that are reliable, scalable, and production-ready. I enjoy working close to the system layer where prompts, embeddings, retrieval, APIs, and infra meet.

I like shipping fast, then refactoring hard.

• LLM agents and workflow orchestration engines
• RAG systems including chunking, embeddings, retrieval, routing
• Prompt optimization and reliability engineering
• Backend-first full stack AI products

Software Engineering Intern
Remote | Oct 2025 to Nov 2025

• Rewrote and optimized the entire prompt flow system to significantly improve LLM accuracy and consistency
• Built a customizable summary agent with control over depth, tone, and structure
• Designed an auto summarization pipeline that intelligently routes transcripts without manual user selection

AI Engineering and Web Development Intern
Remote | Jun 2025 to Oct 2025

• Built the complete backend from scratch with REST APIs, authentication, and RAG logic
• Implemented chunking, embeddings, and contextual retrieval pipelines
• Integrated Zerodha Kite MCP to enable conversational access to live portfolio data
• Used Firebase Realtime DB for fast data storage and retrieval
• Collaborated closely with mobile app developers for seamless backend integration

Software Engineering Intern
Bangalore | Oct 2024 to Dec 2024

• Developed responsive, high performance landing pages for production products
• Led end to end frontend development for Work OS, a freelancing platform
• Live links
  moody-foodie.vercel.app
  painless-cabs-eight.vercel.app

Software Development Engineer Intern
Remote | Sep 2024 to Mar 2025

• Built a full stack AI SaaS platform integrating GPT, Claude, and Flux
• Developed secure authentication using Firebase
• Used Cloudflare Workers and R2 for scalable infra and storage
• Implemented AI driven blog generation workflows and history tracking
• Product link

AI Workflow Automation Platform

Tech stack
Next.js 14 • TypeScript • Python • FastAPI • PostgreSQL • ReactFlow • GPT 4

• LLM powered platform that converts natural language instructions into executable workflows
• Designed a DAG based async execution engine supporting more than 15 node types
• Built a visual workflow editor with drag and drop nodes, real time validation, and smooth animations
• Integrated GPT 4 via OpenRouter with streaming responses and schema validation
• Implemented secure credential vault, multimodal file processing, and more than 20 REST APIs

This project focuses on infrastructure level GenAI engineering, not surface level tooling.

Java • JavaScript • TypeScript • Python

Node.js • Express.js • React.js • Next.js • Spring Boot

RAG • Embeddings • Prompt Engineering
LLM Workflow Optimization • Text Summarization
Chat Server Architecture

MySQL • MongoDB • PostgreSQL
Firebase Realtime DB • Cloudflare R2

GitHub • Docker • Firebase • Cloudflare
VS Code • Postman • Android Studio

I care about building systems that work under real constraints.

Clean backend architecture. Reliable LLM behavior. Products that scale beyond demos.

If that resonates, we will get along.