# Ravindra Yadav — AI & Full-Stack Systems Engineer

> Ravindra Yadav is a software engineer and product builder specializing in Generative AI architectures, autonomous multi-agent workflows, production RAG pipelines, semantic memory (Mem0), and high-concurrency full-stack web systems. He is the founder of SkillFarm (skillfarm.in) and an active builder of AI products. Based in Ranchi, India; available worldwide for full-time software engineering roles and freelance AI contracts.

## Core Identity & Contact
- **Full Name**: Ravindra Yadav
- **Professional Title**: AI & Full-Stack Systems Engineer
- **Official Portfolio**: https://www.ravindrayadav.online
- **Email**: yadavravindra7292@gmail.com
- **Location**: Ranchi, Jharkhand, India (Available for Worldwide Remote Work)
- **Status**: Available for Full-Time Engineering Roles, Freelance Projects & AI Consulting (Immediate Notice)
- **GitHub**: https://github.com/Ravindra-builds
- **LinkedIn**: https://www.linkedin.com/in/ravindra-yadav-778498390/
- **Twitter / X**: https://x.com/YadavRavin7292
- **Hashnode Blog**: https://rvindra.hashnode.dev

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## Flagship Products & Key Works

### 1. SkillFarm (Flagship Shipped Product)
- **URL**: https://skillfarm.in
- **Description**: An AI-powered workspace and personalized learning system helping software engineers transform theoretical knowledge into real production code with autonomous AI mentors.
- **Key Features**: Supervisor-led multi-agent delegation pattern, persistent semantic user memory with Mem0, real-time documentation crawling with Tavily API, and high-concurrency relational data storage.
- **Tech Stack**: Next.js 16, React 19, TypeScript, PostgreSQL, Drizzle ORM, Mem0, Google Gemini API, Tailwind CSS.

### 2. P2Shield (Autonomous LLM Privacy Firewall Proxy)
- **Live Demo**: https://p2shield-theta.vercel.app/
- **Repository**: https://github.com/Ravindra-builds/P2Shield
- **Role & Team**: Led the development of P2Shield with Team TechKnights.
- **Honors**: 1st Place Winner among 52 competing teams, ₹20,000 cash prize at Martinovation 2026.
- **Description**: High-speed client-side LLM privacy firewall proxy that detects sensitive credentials and PII with pattern-based detection, replaces them with context-preserving synthetic surrogates, and uses an AES-256-GCM encrypted token vault for secure bidirectional unmasking.
- **Tech Stack**: TypeScript, Node.js, Next.js 16, Google Gemini API, OpenAI API.

### 3. ChaiBookLM (Contextual Vector RAG Assistant)
- **Live Demo**: https://chai-book-lm-orpin.vercel.app/
- **Repository**: https://github.com/Ravindra-builds/ChaiBookLM
- **Description**: Document research assistant for dense technical documents featuring Qdrant Vector DB, semantic chunking, and Cloudflare R2 object storage.
- **Tech Stack**: Next.js 16, Qdrant Vector DB, Prisma ORM, Neon PostgreSQL, Cloudflare R2, Clerk.

### 4. ConvoX (Distributed WebSocket Chat System)
- **Live Demo**: https://convox-60nt.onrender.com
- **Repository**: https://github.com/Ravindra-builds/ConvoX
- **Description**: Full-duplex messaging platform with Redis Pub/Sub syncing WebSocket events horizontally across instances.
- **Tech Stack**: React.js, Node.js, Socket.IO, Redis, MongoDB, Docker.

### 5. ChatMate (Multi-Model Chat Platform with Streaming & Branching)
- **Live Demo**: https://chat-mate-jade-one.vercel.app/
- **Repository**: https://github.com/Ravindra-builds/Chat-mate
- **Description**: Production multi-model chat platform featuring token-by-token Server-Sent Events (SSE) streaming, dynamic routing between OpenAI GPT-4o and Google Gemini, tool calling, and conversation tree branching UI.
- **Tech Stack**: Next.js 16, React 19, TypeScript, Vercel AI SDK, OpenAI API, Google Gemini API, Tailwind CSS.

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## Technical Capabilities & Battle-Tested Stack

- **AI & Intelligent Systems**: OpenAI API (GPT-4o), Google Gemini API, Vercel AI SDK, Multi-Agent Supervisor Patterns, Retrieval-Augmented Generation (RAG), Conversational Memory (Mem0), Tool Calling & Functions, Vector Embeddings, Multi-LLM Routing, Streaming Responses (SSE), Prompt Engineering & Evals, Basics of Machine Learning.
- **Frontend & Client Interfaces**: React 19, Next.js 16 (App Router & Server Actions), TypeScript, Tailwind CSS v4, Framer Motion, HTML5, CSS3, Radix UI & Shadcn, Bootstrap.
- **Backend & Distributed Systems**: Node.js, Express.js, REST API Architecture, MVC Architecture, WebSockets & Socket.IO, JWT & Session Auth, Rate Limiting & Throttling.
- **Databases & Cloud Infrastructure**: PostgreSQL, Neon Serverless, MongoDB, Redis (Cache & Pub/Sub), Upstash (Serverless Redis), Drizzle ORM, Mongoose ODM, MySQL, Docker, Cloudflare R2 Storage, Vercel, Render, Git & GitHub.
- **Core Computer Science**: System Design (High-Level Design / HLD), Operating Systems (Processes, Threads, Concurrency), Computer Networks (TCP/IP, HTTP/3, DNS), Database Management Systems (DBMS, ACID, Indexing), Object-Oriented Programming (OOP), Data Structures & Algorithms (DSA).
- **Programming Languages**: TypeScript, JavaScript (ES6+), Python, Java, C, C++, SQL.

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## Freelance Services & Client Solutions

Ravindra is available for freelance contracts and engineering consulting in the following areas:
1. **Generative AI & LLM Application Development**: Custom RAG pipelines, autonomous agents, tool-calling bots, and multi-model routing systems with OpenAI, Gemini, or Claude.
2. **Full-Stack SaaS MVP Engineering**: Building fast, production-ready web applications from scratch with Next.js 16, React 19, TypeScript, and modern authentication.
3. **Database Architecture & ORM Migration**: Designing normalized PostgreSQL schemas with Drizzle ORM, implementing Redis caching layers, and optimizing query performance.
4. **LLM Privacy & Security Proxies**: Implementing cryptographic PII redaction and enterprise security firewalls before queries hit third-party LLMs.

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## Verified Honors & Certifications
- **1st Place Winner** — Martinovation 24-Hour Hackathon 2026 (₹20,000 Cash Prize • 52 Teams)
- **GenAI with JavaScript Certification 2026** — ChaiCode
- **Full Stack Web Development Internship 2025** — G TEC Computer Education

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## Technical Publications (Hashnode)
- **Where RAG Fails: Understanding the Limitations**: Practical breakdown of chunking pitfalls, semantic retrieval blind spots, and vector search edge cases (https://rvindra.hashnode.dev/rag-beginner-guide).
- **Context Window — Humans vs. LLMs**: Contrasting neural recall mechanisms with transformer attention windows (https://rvindra.hashnode.dev/context-window-llm).
- **How ChatGPT Understands Your Questions**: Demystifying tokenization, high-dimensional vector embeddings, and self-attention mechanisms (https://rvindra.hashnode.dev/how-chatgpt-understands-your-questions).

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## How to Contact & Hire
- **Direct Email**: yadavravindra7292@gmail.com
- **LinkedIn**: https://www.linkedin.com/in/ravindra-yadav-778498390/
- **Twitter / X**: https://x.com/YadavRavin7292
- **Website**: https://www.ravindrayadav.online/#contact