Muhammad Ahmad

I've built GenAI, machine learning, and cloud data products at GIKI, including a multimodal asset recovery platform and predictive health-risk dashboards.

During my Data & AI internship at Datamatics Technologies, I trained and deployed a Random Forest telecom churn classifier as a containerized Flask API and created a Power BI dashboard from cleaned telecom data.

I also audited data using the 7 Cs data quality framework and developed an AI Adoption Advisory & Pilot proposal through a consulting capstone simulation.

My projects include FoundIt AI, which combines Gemini vision, embeddings, semantic vector search, and multi-turn ownership verification, plus an AWS-based three-tier application architecture and an AQI forecasting dashboard that reduced load times by approximately 80%.