Yuvraj Singh Rathore
Software Engineer | AI & Full-Stack
I build intelligent systems and scalable web applications. Passionate about AI, backend architecture, and creating elegant solutions to complex problems. Currently working on cutting-edge projects that bridge software engineering and artificial intelligence.
Services
What I Do
Specialized expertise in building scalable systems, AI-driven applications, and modern web platforms.
Backend Engineering
Design and implement robust APIs, microservices, and database architectures. Expertise in Python, Node.js, and cloud-native solutions.
AI & Machine Learning
Build intelligent systems using LLMs, RAG pipelines, and ML models. Integration of AI into production applications.
Full-Stack Development
Create end-to-end web applications with modern frameworks. Focus on performance, scalability, and user experience.
Tech Stack
Technologies I Use
A curated set of tools and frameworks for building modern applications.
Python
TypeScript
React
Next.js
Node.js
PostgreSQL
FastAPI
TailwindCSS
AWS
Docker
LangChain
GraphQL
Portfolio
Featured Projects
Recent projects showcasing my expertise in full-stack development, AI integration, and system design.
AI Content Platform
A sophisticated platform for generating, managing, and publishing AI-assisted content at scale.
Problem
Creating quality content at scale is time-consuming and resource-intensive for most organizations.
Solution
Built a RAG-powered system that ingests brand guidelines and generates contextually relevant content. Integrated with popular publishing platforms for seamless workflow.
Outcome
Reduced content creation time by 70% while maintaining quality. Powered by Claude AI and vector databases for semantic search.
Real-time Analytics Dashboard
Enterprise-grade dashboard for monitoring and analyzing system metrics across distributed infrastructure.
Problem
Teams lacked real-time visibility into system performance metrics and needed complex custom dashboards.
Solution
Created a modular dashboard system with WebSocket support for live data updates. Built custom visualization components for different data types.
Outcome
Enabled teams to respond to issues 5x faster. Processed 1M+ events per second with <100ms latency.
Background
Experience
Building products and solving problems across various domains.
Years of Experience
Working on full-stack and backend systems at various scales.
Projects Shipped
From MVPs to production systems serving thousands of users.
AI/ML Integrations
LLM applications, RAG systems, and machine learning pipelines.