AI/NLP/Semantic Engineer with over 18+ years of experience in content/data-driven applications, implemented as modular AI Engines with mixture of applied approaches in Artificial Intelligence, Deep Learning, Machine Learning, Natural Language Processing, Computer Vision, Semantic Web, Information Retrieval, Information Extraction, Natural Computation, Knowledge Graphs, Linked Open Data, Ontology Engineering, Complex Networks, Big Data, and Cloud. This is inclusive of building models, feature engineering, analytics, pipelining, and semantic/metadata enrichment, using open source frameworks and libraries. Moreover, I work across the entire end-to-end AI/DS method, in contract capacity, within small to large pragmatic teams on both distributed productionized applications as well as prototypical R&D solutions in large corporate to startup environments. I enjoy creating innovative and disruptive solutions through research in the above mentioned and below focused areas, utilizing best of breed and reactive approaches
AI/NLP/Semantics