Parbhat Kapila
Full-Stack Software Engineer
Open to full-time remote opportunities at early-stage startups
About Me
I'm a full-stack engineer who turns complex problems into simple, elegant solutions. Three years building production systems that actually ship. My work is always production-focused - everything I build handles real traffic, real users, and generates real value.
My approach is to ship fast, iterate based on data, and never overcomplicate. I thrive on taking ownership from concept to deployment. Whether it's AI systems, payment infrastructure, or real-time processing, I figure it out and deliver. My commits tell the story: consistent, daily progress toward shipped features.
Currently exploring opportunities with teams that move fast and value execution. I want to build products that users love, not architecture diagrams that never ship. Ready to contribute from day one. I've learned that good code that ships beats perfect code that doesn't.
Skills & Tools
Projects
Launched enterprise PDF intelligence platform processing 10,000+ documents at 94% accuracy in document classification and hierarchical summarization. Transforms 500-page documents into actionable insights in <2 seconds (previously took 4+ hours manually). Implemented hierarchical summarization with LangChain and GPT-4, semantic search using pgvector, and Stripe for usage-based billing. Currently serving clients. Handles legal docs, financial reports, and research papers with 99.9% uptime in production.
Developed AI documentation system that turns any codebase into searchable knowledge. Auto-generates docs from 100,000+ lines of code with 92% relevance accuracy. Reduced developer onboarding from 2 weeks to 3 days (75% faster) for teams of 5+ developers. Implemented hybrid search combining vector similarity and BM25 keyword matching. Integrated OpenAI for intelligent code explanations. Currently processing 200+ repositories. Ships documentation updates in real-time as code changes.
Architected AI-powered email intelligence platform using RAG architecture for semantic search. Implemented distributed vector embeddings with pgvector and Redis clustering, achieving <200ms query latency at scale. Integrated Gmail API with OAuth, OpenAI for NLP processing, and PostgreSQL for persistent storage. Optimized embedding pipeline to handle 1000+ Emails. Reduced email search time by 80% through intelligent caching and query optimization. Serving daily active users with 99.9% uptime.
Experience
Full-Stack Engineer (Independent Product Development)
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/Razorpay/Paypal payment infrastructure, PostgreSQL database design, and CI/CD pipelines. Maintained 99.9% uptime across all deployments, serving real users. 600+ commits in 2025, shipping to production constantly