MOHD ZAID IMRAN KAPOOR

Designed and built a multi-tenant AI SaaS for small businesses that enables deployment of an AI customer-service agent using a one-time setup plus monthly subscription model. Implemented a Supabase backend with Row-Level Security (RLS) to enforce strict per-tenant isolation across customer accounts. Built a provider-agnostic LLM wrapper (integrated with Groq) to swap AI providers without rewriting business logic, including a cost optimizer for inference spend control. Shipped an onboarding engine and a customer-facing chat API, along with an admin kill-switch panel to manage live tenant agents in real time.

Designed and built a multi-tenant AI SaaS platform for small businesses that provides an AI customer-service agent with a one-time setup + monthly subscription model. Implemented a Supabase backend with Row-Level Security (RLS) to enforce strict per-tenant data isolation. Created a provider-agnostic LLM wrapper integrated with Groq so AI providers can be swapped without changing core business logic, along with a cost optimizer for inference spend. Shipped onboarding and customer chat APIs plus an admin kill-switch panel for real-time control of live tenant agents.

Designed and built a multi-tenant AI SaaS platform for small businesses to deploy a customer-service agent with one-time setup and monthly subscriptions. Implemented a Supabase backend with Row-Level Security (RLS) to ensure strict tenant data isolation. Created a provider-agnostic LLM wrapper (integrated with Groq) to swap AI providers without rewriting core business logic and added cost optimization for inference spend. Shipped an onboarding engine, customer-facing chat API, and an admin kill-switch panel for real-time control of live tenant agents.