Abdul Wasay

I'm an AI undergraduate building machine learning systems, agentic AI workflows, and retrieval-augmented generation pipelines that solve real tasks end-to-end.

I've built predictive and diagnostic models from health data, covering preprocessing, training, and evaluation. I also design agent workflows, tool-calling logic, structured outputs, and LLM integrations with external knowledge using Pydantic AI.

Beyond core AI work, I've built a multi-tenant, offline-capable retail POS platform with REST APIs and a Postgres database using Next.js, TypeScript, Supabase, and Vercel. I've also created an intelligent document parsing system and MeritEngine, a platform for benchmarking sorting algorithms against admission datasets.

At Mango Nexus, I designed workflow automations with n8n, Zapier, and Make.com, managed GoHighLevel CRM workflows, and supported AI-driven voice automation using Vapi. I'm a resourceful learner who ships working systems.