At Catholic Bible Commission Pakistan, I develop and maintain a Django REST and React platform backed by PostgreSQL, spanning 11 backend modules and 30+ REST endpoints. I also document APIs with OpenAPI/Swagger and integrate Google Sheets to synchronize registrations and submissions.
I built the AI Retail Intelligence Assistant, a RAG-based platform for retail analytics, inventory insights, and natural-language data queries. Its 28-endpoint backend uses FAISS retrieval and model switching, and I optimized reported response latency from 60–180 seconds to under one second.
On NetDesk, I built an agentic LangGraph workflow for ISP ticket classification, investigation, and resolution, with RAG and confidence-based escalation. I’m also a Teaching Assistant for Software Engineering at University of the Punjab and am pursuing a BS in Data Science there.
