About Me
Hey! I'm Parbhat, a full-stack engineer who's been building AI-powered apps for the past 3+ years. I love working with React, Next.js, TypeScript, Python, and Node.js - mostly remote gigs. My thing is RAG architectures, vector databases (pgvector), LangChain, and building SaaS platforms that actually work well.
I take messy requirements and turn them into clean, deployed systems. Been working with REST APIs, PostgreSQL, Redis, and modern CI/CD stuff. I've built real-time apps, payment systems with Stripe, and semantic search features. Right now, I'm looking for full-time remote work focused on AI development and building tools that make developer's lives easier.
I've been architecting AI platforms that handle tons of concurrent users, working with vector embeddings, OpenAI integration, and event-driven systems. Built intelligent document processing, automated workflows, and real-time collaboration features - all deployed on Vercel and AWS.
Skills & Tools
Projects
Built production AI document analysis platform using Next.js, TypeScript, and Node.js, reducing processing time from hours to seconds. Engineered extraction pipeline with LangChain agents and GPT-4 API, processing 1000+ page documents through hierarchical map-reduce summarization. Implemented pgvector for semantic search, RESTful APIs, Stripe billing integration, and deployed on Vercel with PostgreSQL database. Serving enterprise clients with 99.9% uptime.
Built codebase documentation and semantic search platform using Next.js, TypeScript, and Node.js, reducing developer onboarding time by 75%. Engineered hybrid search combining pgvector similarity with BM25 keyword matching, achieving 92% relevance accuracy. Integrated OpenAI API for intelligent code analysis, implemented RESTful APIs with PostgreSQL database, and deployed on Vercel. Automated documentation generation processing 100,000+ lines of code with real-time indexing
Built AI-powered email automation platform using Next.js, TypeScript, and Node.js with advanced RAG architecture for context-aware responses. Integrated Gmail API with OAuth authentication to fetch and index last 3 days of user emails. Engineered distributed vector embedding pipeline using pgvector and Redis clustering with sub-1s search latency. Implemented OpenAI API for intelligent analysis, RESTful APIs with PostgreSQL database, and deployed on Vercel. Automated workflows reducing response time by 80%.
Experience
Independent Development
Full-Stack Engineer
Built and deployed production AI applications using React, Next.js, Node.js, Python, and TypeScript. Specialized in RAG architectures with vector databases (pgvector, Pinecone), LangChain integration, and RESTful APIs. Architected semantic search systems processing 10,000+ documents with sub-2s response times. Implemented full-stack SaaS features including Stripe payment infrastructure, PostgreSQL database design, and CI/CD pipelines. Maintained 99.9% uptime across all deployments.