Robert Levinson Email & Phone Number

I provide strategic technology leadership that strengthens web presence and solidifies company position as preferred sports prediction website. I lead all aspect of long-term technology strategy development and execution. I direct technical teams and resources in solution design, development and delivery with a focus on efficiency, cost effectiveness, security, stability, and overall value to the business. I design and develop SEO programs and market "NFL Computer Rankings and Predictions” for the WordPress site http://ff-winners.com with a result of 80K pageviews monthly. FF-winners.com ranks In GoogleSearch’s top 3 for keywords "NFL computer power rankings" and "NFL computer game picks”, “NFL artificial intelligence” and others.I developed a deep learning Python program which accurately predicts NFL games. 40-15 (72.7 percent) in playoff predictions and 27-18 (60.0 percent) against the point spread past five years. All results third party audited. Ranked #3 of 69 NFL systems at thepredictiontracker.com for 2018 season.I provide customer service and outreach in selling marketing space on the website. The only NFL system tracked which has been profitable five of the last six years!(nix Covid) FF-WINNERS IS MENTIONED 7 TIMES IN THE 2021 NFL AWARDS BULLETIN:https://www.thepredictiontracker.com/nflawards21.html!

Worked on Machine Learning to support Donor Advancement Salesforce Extension. Worked closely with upper management. Wrote 6500 lines of Python code and 100s of tests using Azure MLand Azure AutoMl. Also 3 months experience with BigML.

Santa Cruz, Ca, Us

Worked with, taught and supervised, and interacted with undergraduate and graduate students, staff and faculty in a variety of roles. Taught Artificial Intelligence, Computational Models, Systems and Simulation. Led in numerous academic positions including computer science undergraduate director and UCSC committee on diversity. Successfully supervised 5 PhD Theses and 12 Master Projects.Conducted and published research across the broad spectrum of topics in Artificial Intelligence research – specifically in the areas of machine learning, heuristic search, knowledge representation, associative pattern retrieval and machine creativity. Received 4 annual Excellence in Teaching awards from the School of Engineering.Google Scholar Page:https://scholar.google.com/citations?user=9CtjS1kqgn0C&hl=en&oi=aoPublished over 60 research papers and book chapters. Published in 14 top academic journals including Computational Intelligence, Journal of Applied Artificial Intelligence.These papers have been cited more than 1000 times.

Developed Alphacet software with Rosario Ingargiola through Internet and personal conferences. Alphacet is an algorithmic trading strategy platform where users can build, test and deploy in real time, arbitrarily complex algorithmic trading strategies including both the alpha generation and trade execution logic.