Judges / Organizers
Jeffrey Willert, Ph.D
Dr. Willert earned a B.A. in Mathematics from The College of Wooster and a Masters and Ph.D. in Applied Mathematics from North Carolina State University. Dr. Willert specialized in Numerical Analysis, Numerical Solutions to Nonlinear Equations and Optimization during his graduate studies. His Ph.D. thesis, Hybrid Deterministic/Monte Carlo Methods for Solving the Neutron Transport Equation and k-Eigenvalue Problem, was jointly advised by members of the Applied Mathematics and Nuclear Engineering departments and a researcher at Los Alamos National Laboratory (LANL). Dr. Willert continued a similar line of research as a Postdoctoral Research Associate at LANL.
After two years at LANL, Dr. Willert took a job with the Institute for Defense Analyses (IDA) in Northern Virginia. As a Research Staff Member at IDA, Dr. Willert worked on the Chemical, Biological, Radiological and Nuclear (CBRN) Defense team, providing leadership in modeling and simulation and data analytics. He later changed trajectories and joined Altamira Technologies as a Senior Data Scientist, before being promoted to Lead Data Scientist. While at Altamira he led a team of data scientists working with the United States Air Force Chief Data Office. His team specialized in providing data science and Machine Learning support for a variety of technical Use Cases. In 2019, Dr. Willert and his family moved to Louisville, Kentucky, USA to lead a team of data scientists at Schneider Electric within the Energy and Sustainability Services division.
Mr. Vikash Ruhil earned a Bachelor of Technology in Computer Science from MDU university and M.S. in Data Mining and Predictive Analytics from St. John’s University. Mr. Ruhil specialized in data science, econometrics, credit risk, creditworthiness using AI models, building complex statistical and mathematical models in pricing, residual value analysis, predictive analytics models on finance and healthcare during his graduate studies.
He worked as Head of Data Science for Deserve. He built data science and machine learning algorithms to measure creditworthiness using alternative data. He built a credit underwriting engine and domino credit scoring system which uses various attributes such as credit files, credit scores, income and cash flow underwriting. At VMware, He worked as senior data scientist developing data science and machine learning models for cloud management products.
In his current role, He is working as Senior Data Scientist at Apple.
Senior Technology Executive with 22 years of rich global experience in the software industry in general management. Nitin leads leading cross-functional teams in Product/Platform development, Consulting, Client Partner, Global Practice Head, Marketing & Sales, and Global Delivery Head roles. An experienced, growth-focused, high-energy leader with a successful record of growing business by building partnerships, entrepreneurship, and technology leadership (AI/ML & Big Data, Cloud). In his current role at Cambridge, he runs AI/ML, Cloud, Big Data, and SaaS practices in Partnership with AWS, Google, Microsoft with P&L responsibility.
From 2002 to 2012, Taras created and promoted Information Security Systems as a developer, team lead, and project manager. In 2012, he moved to KORUS Consulting, where he created and implemented Health Information Systems (HIS). Believing in open source software, Taras promoted and developed all products based on the idea that good software should not hide its technologies. In 2014, he co-founded a startup where he continued to create specialized software for medical organizations. In 2016, BARS Group proposed to combine his and their intellectual properties. The merger’s synergistic effect made it possible to implement the developed software in hundreds of medical institutions. From about 2003 to 2004, he became interested in the prospects and capabilities of neural networks, and later, machine learning in general. He wrote several scientific publications on this topic. He participated in Kaggle competitions, where he received the performance tier of competitions master. At the end of 2018, he moved to Bidease to develop and implement machine learning algorithms for the Demand Side Platform (DSP).
Shraman is the co-founder of Community AI, the organizer of Sustainability and Community AI Fair. Shraman helped to put together the mission and vision of the fair and raised funds from the corporations to make the scholarships and awards possible for the fair. On its debut, the fair attracted more than 200 motivated participants from around the world who are passionate to help the community and the environment. Shraman is the CEO of Community AI and a junior at duPont Manual High School.
Shreyas is the founder of Community AI, the organizer of Sustainability and Community AI Fair. Shreyas put together the concept of the fair and brought corporates, academia and students on the same platform to make the fair a grand success. On its debut, the fair attracted more than 200 motivated participants from around the world who are passionate to help the community and the environment. Shreyas is an undergraduate Computer Science (AI Track) student at Stanford University and also researcher at Partnership in AI-Assisted Care (PAC) group as part of Stanford Vision and Learning Lab (SVL) headed by Dr. Fei Fei Li.