Radhakrishnan Poomari Email & Phone Number

Radhakrishnan has 16 years of AI & Data science Technology and Leadership experience with a proven track record of developing complex algorithms that have significantly impacted business value and measurable outcomes. He has architected generic, scalable and re-usable algorithms on Mission-critical programs across diverse industry verticals. Through his vision he created two of the flagship platforms of Xformics called Providence and Revelation targeting niche problem segments with unmet needs. In his earlier roles, Radhakrishnan has led several AI initiatives in GE and developed innovative modelling frameworks to complex real-world problems in Industrial Analytics (IoT). He has strong experience in building “Digital Twins” which are virtual models of industrial assets like Gas/Steam Turbines using massive time series datasets. Further, he is skilled at engineering Analytic solutions for ill defined and vague business and industrial problems.Radhakrishnan has influenced several key business decisions through leadership skills and program management that contributed to the companies top and bottom line. He also led the Innovation and Product strategy for GE's Software and Computing R&D unit from Bangalore, India. He advised on technology, business development and Intellectual Property strategies for Data Science/Analytics and IoT based, multi-Million dollar Technology R&D programs across GE Global Research in US, Germany and India. His most notable achievement being, receiving GE Management awards twice consecutively in 2013 and 2014 for recommending innovative technology, business and market strategies for GE's popular Cloud based Industrial Internet of Things platform popularly known as "Predix". He is a Certified Scrum Master and a Product Owner who believes in quick PoCs with usable Minimum Viable Products. Also Radhakrishnan Has 3 Patent publications to his credit.

Listed skills include Machine Learning, Artificial Intelligence, Industrial Data Science, Cloud Computing, and 42 others.

• 

  University Of Halmstad, Sweden

  Machine Learning And Machine Vision