Deepanshu Goel

— Partner with teams in healthcare, construction, and industrial settings to turn operational bottlenecks into production AI systems.

— Shipped multi-agent work across radiology report interpretation, construction scheduling grounded in project data, and industrial sales requirement gathering.

— Own engagements from discovery through production — workshops, iteration, and live adoption.

— Built reusable multi-agent orchestration patterns so later customers start further up the curve.

— Architected and shipped the flagship EdTech platform for professional training programs (healthcare workers, navy personnel, World Bank–backed cocoa farming education).

— Added LLM conversational features, automated content analysis, and performance summarization — engagement up ~25%, learner retention up ~15%.

— Shipped reusable JavaScript SDKs and cloud-native CI/CD; client integration effort down ~50%, deploy time down ~40%.

— Built real-time analytics so training performance data could drive continuous product decisions.