Krishna R.
Chief Technical Officer | Engineering and Technology Executive | Entrepreneurial Leader | 3-Time Technology Innovation Award Winner | Helping create and bring Innovative Products to Market
- Role
- Chief Technical Officer at Lab2fab, Middleby Corporation at The Middleby Corporation
- Location
- Fremont, CA, US
- LinkedIn followers
- 500 followers
About Krishna R.
Leading the Technology and Software teams in all functions related to creating the strategic roadmap and delivering the AI and Machine Learning product platform for the fully automated and connected family of products. • Technology oriented Engineering Executive with extensive Software, Hardware, Platform and Automation development experience in designing and delivering complex multi-disciplinary systems in High Tech, Semiconductors, Sensors and Food Service Automation. • Awarded the “CTO Innovation Award” 3 years in a row for outstanding innovations. • Recognized at the Executive Management level as a High Potential / High Impact Employee.• Highly skilled in Agile Software, Hardware and Systems Development, Robotics, Precision Automation, Big Data, IoT, Artificial Intelligence, Machine Learning and Deep Learning for Semiconductor, Mobile, Solar, MEMS, Fiber Optics, Genomics, Wearables and Related Industries. • Seasoned Executive with expertise in building and leading High Performing, Cross-Functional teams in solving highly complex technical problems in Engineering, Technology and Advanced Analytics.• Skilled Leader with expertise in startups, fund raising, growing, and operating companies, along with proven history of increasing productivity and turning around complex situations.• Extensive experience in the Development of Highly Optimized, Complex, Fully-Integrated Systems designed to operate continuously (24 x 7 x 365) in extremely demanding environments to meet ever-tightening specifications while achieving very high availability.
Experience
Chief Technical Officer at Lab2fab, Middleby Corporation
Jan 2018 — Present
I architected, designed and led the software and technology teams that built and deployed the Artificial Intelligence and Machine Learning Platform which captures real-time information from the fully automated Smart Robotic Platform using a series of highly secure IoT devices that stream high velocity, multi-dimensional data using a highly secure proprietary “edge computational” gateway to an on-demand, highly reliable, rapidly scalable cloud computing platform while using Deep Learning and Artificial Intelligence algorithms to deliver “actionable” business intelligence, real-time alerts & reports and predictive and prescriptive analytics using approaches such as Naïve Bayes predictions, K-means clustering and Time-Series forecasting to provide business owners deep insights into their business operations in order to increase operational efficiencies, rapidly change menu offerings and thereby drive top line growth and increase profit margins by over 30%.
Education
Oregon Health & Science University
Ph.D, Electrical Engineering, Applied Physics
Stanford University
Joint PhD Project w/ Oregon Health and Science University, Electrical Engineering/Applied Physics
Cornell University
Post Doctoral Research Associate, Nanofabrication Facility
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