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Expert founded three technology companies and co-led them to successful acquisitions, including one to a leading manufacturer in the Apple supply chain. He has been featured by Bloomberg Business Week as one of America's Best Entrepreneurs. His work has been featured in the Economist, Huffington Post, and Wired.

Now as CEO of a telemedicine and machine learning ophthalmology company, Expert developed an EHR, telemedicine, computer vision, and NLP system deployed into a network of 20 hospitals, and serves 300,000 patients and counting. The system achieves state-of-the-art detection, object recognition, hierarchical multi-label classification, and segmentation of eye diseases. The company and technology are backed by the leaders of the eye care and technology industries.

Expert also developed cutting-edge natural language understanding systems, involving state-of-the-art Question and Answer dataset performance, industrial-grade semantic compositionality, neural semantic frame parsing, semantic role labeling, and other NLU tasks.

Expert is available to consult in machine learning and natural language processing-related technologies and businesses.

Skills
• Executive/BD: Entrepreneurship, US-Asia business development, strategic licensing & contracts with Fortune 500 companies, product and engineering leadership, federal government contracts and grants, venture capital, leading Board of Directors
• Engineering: Product development & management, machine learning, natural language processing, data science, R&D, statistical modeling, physics (statistical mechanics, thermodynamics, optics)
• Computational: Python, PyTorch, Tensorflow, Keras, Caffe, Neon, Pandas, Jupyter, Scikit-learn, NLTK, CoreNLP, Gensim, Flask, Django, SparklingH2O, CVXPY, Spark, Zeppelin, Mathematica, Tableau, SAS JMP, R, Orange, AWS, Hadoop, Comsol, CST, CAD, SQL, Neo4J, Excel, Heroku, GPU distributed computing, web deployment, HTML, CSS

Software portfolio
• Natural language processing (NLP) hierarchical abstraction of ideas using skip-thought vectors, TextRank, and paraphrasing of large web documents; t-SNE semantic graph of hierarchical relationships between all individual ideas within documents (Conceptnet, Wordnet, Gensim, CoreNLP, NLTK, PPDB)
• Computer vision image classification: ensemble machine learning optimization including convolutional and recurrent neural networks. Exceeded doctor diagnostic accuracy on one TB of medical images.
• Architect of ERP+EHR database and set up the server for Employer business operations, office management, sales using MySQL, Pandas, Tableau
• Modular deep neural net exhibiting plasticity using energy constraints in cost function: >30% efficiency gain
• Event-driven, proprietary, quantitative finance engine (ensemble ML of fundamental+technical+NLP news events+hyperparameter opt.) uncovering underlying temporal dynamic structural features and leading indicators, returning >6000% over 10 years in backtesting, and out-performing the broad market in 12 months of forwarding testing on a risk-adjusted basis (Pandas, Theano, Keras, Sklearn)
• Electro/optical model of random resistor networks percolation theory, arbitrary material structures (max flow optim.)