I'm a Full-Stack Developer with 3+ years of professional experience building high-scale web applications, multi-tenant SaaS platforms, and production-grade AI solutions.
I enjoy working across the entire product lifecycle - from architecture and database design to frontend, backend, APIs, integrations, deployment, and optimization. I'm technology-agnostic and enjoy learning and applying the right tools for the problem rather than limiting myself to a single stack.
🌐 Portfolio & case studies: lakshaykapoor.in
- 🚀 What I Build
- 🌐 Full-stack web applications
- 🏢 Multi-tenant SaaS platforms
- 🤖 AI-powered applications, RAG systems & voice agents
- 🧠 Autonomous multi-agent systems
- 📊 Admin dashboards & internal tools
- 🔌 REST & third-party API integrations
- ⚡ High-performance and scalable applications
- ☁️ Cloud-ready applications and deployment pipelines
Full Stack Developer - Netweb Technologies (Sep 2023 - Present) Working on production applications across frontend, backend, databases, APIs, integrations, and deployment.
My work includes:
- Architecting and delivering production-ready SaaS features using React, Next.js, TypeScript, and Node.js
- Developing backend services with Node.js, Express, Python, and FastAPI
- Optimizing data-filtering layers and complex backend queries across large-scale datasets
- Designing and integrating secure REST APIs
- Working with PostgreSQL, MongoDB, Supabase, and SQL-based systems
- Implementing authentication, authorization, RBAC, and multi-tenant architectures
- Leading the integration of contextual data workflows and secure LLM chatbot components
- Establishing standardized CI/CD pipelines and automated Docker environments
- Debugging and optimizing production applications
Also familiar with: Angular (Basic), React Native (Basic)
- Retrieval-Augmented Generation (RAG) pipelines
- LLM orchestration & multi-provider integrations
- Autonomous agents & tool calling
- Voice AI agents
- Embeddings, vector search & hybrid retrieval
- AI chat applications
- Local LLM inference
- Authentication & authorization
- Role-Based Access Control (RBAC)
- Multi-tenant authentication & tenant-scoped data isolation
- API security, webhook signature verification
- Protected routes & APIs
- REST API integrations
- Webhooks
- Third-party SaaS integrations
- OAuth integrations
- Docker & containerization
- CI/CD pipelines
- Cloud deployment
- Environment & secrets management
- Unit & integration testing
- API testing
- Debugging & performance optimization
- Type-safe development
- Code reviews & Git workflows
AI-powered e-commerce voice agent
A high-performance customer support agent powering low-latency voice interactions and simultaneous text chat.
Highlights:
- ElevenLabs Conversational AI + Next.js + TypeScript
- Tool-calling layer integrating 17 backend microservices (catalog search, cart state, inventory validation, scheduling)
- Policy-grounded RAG with prompt-injection defenses
- Secure webhook verification signatures & customer ownership assertions
AI-powered document intelligence & RAG SaaS
A multi-tenant platform that lets teams train a knowledge base from documents and websites, then chat with their data anywhere - including an embeddable widget for third-party sites.
Highlights:
- Hybrid RAG pipeline: Pinecone vector search + PostgreSQL full-text + Reciprocal Rank Fusion + custom reranking
- Concurrent file chunking engines & recursive web crawlers
- Asynchronous processing with Inngest, Vercel Blob & Pusher WebSockets
- Embeddable lightweight chat widget
Agentic AI operations platform
A multi-agent orchestration engine managing specialized worker agents for deep data analysis and research tasks.
Highlights:
- Next.js + TypeScript + Vercel AI SDK
- Multi-provider LLM integrations with tenant-scoped data isolation
- pgvector RAG lookups & Zod-validated structured outputs
- Human-in-the-loop validation, SSE streaming, idempotent execution & immutable audit logs
Multi-tenant SaaS platform
A SaaS platform designed to streamline client management and business workflows.
Focus areas:
- Multi-tenant architecture with tenant-scoped data models
- Authentication, authorization & RBAC
- Billing, invoices & webhooks
- Real-time notifications
- Scalable database architecture
👉 Detailed case studies for these and more: lakshaykapoor.in/work
- Master of Computer Applications (MCA) - Lovely Professional University, Phagwara (2023 - 2025)
- Bachelor of Computer Applications (BCA) - DAV College, Amritsar (2020 - 2023)
⭐️ From Lakshay Kapoor