AI-Powered Research Platform
“AI-Powered Research
at Scale”
Led the architecture and full-stack development of an AI SaaS platform that automates company research and competitive analysis. Designed multi-model AI orchestration integrating Google Gemini, Perplexity AI, and OpenAI to generate citation-backed intelligence reports.
Built the complete infrastructure from JWT-authenticated REST APIs and multi-tenant data isolation to Stripe subscription billing and Google Cloud auto-scaling deployments.
Full-Stack SaaS Architecture
Led system design and architecture of a full-stack AI SaaS platform with Next.js, Node.js/Express, TypeScript, and MongoDB, designing 50+ RESTful API endpoints, multi-tenant data isolation, and role-based access control with JWT authentication.
Multi-Model AI Orchestration
Engineered a multi-model AI orchestration layer integrating Google Gemini, Perplexity AI, and OpenAI APIs to automate company research, competitive analysis, and market intelligence generation.
RAG Pipeline & Intelligence Engine
Implemented a retrieval-augmented generation (RAG) pipeline that enriches LLM prompts with company profiles, historical report data, and industry context, producing citation-backed research outputs across 10+ report categories.
Stripe Subscription Infrastructure
Built end-to-end Stripe subscription infrastructure with tiered pricing, promotional codes, usage-based metering, and a customer self-service portal, handling the full payment lifecycle for a multi-tenant SaaS product.
GCP Deployment & CI/CD
Deployed to Google Cloud Platform using App Engine with auto-scaling (1–10 instances) and established CI/CD pipelines via Cloud Build for automated TypeScript compilation, health checks, and zero-downtime production deployments.