Salem Ihsan

Provided AI/IT risk advisory services to enterprise clients. Led end-to-end risk governance and evidence-based policy design. Built an enterprise RAG platform with a neural-network-based retriever for fast semantic search across policies, controls, and audit evidence. Implemented OCR/extraction, schema mapping, and RAG ingestion to improve downstream answer quality. Collaborated with cross-functional teams to translate AI ideas into pilot-grade solutions.

Designed and trained LSTM and CNN models for research collaborations with master's and bachelor's students. Implemented end-to-end ML pipelines: data preprocessing, feature extraction, model training, evaluation, and deployment. Supported IT quality processes and cross-functional collaboration to advance education-focused AI initiatives.