Vivin Samuel

Experience

• 

  University of South Florida

  Dec 2011 - Dec 2013

  “Control of Smart Building Using Advanced SCADA”. This Paper concentrate on how a better communication protocol, data gathering, and control strategies optimizes the consumption and operation of large-scale industrial buildings. Designing and Construction of Solar panels inside the USF campus in association with Clean Energy Research and TECO. Analysing the proper structure and efficient conversion of Solar Energy into Electrical Energy.Integrated 10-kW Photovoltaic (PV) generation system at USF into Electricity Grid. Designed and implemented a PV Charging Station for USF golf carts with real-time monitoring and control Energy Management System to inventory energy consumption

  • Master Thesis Project

    Jan 2012 - Dec 2013

  • Student Assistant

    Dec 2011 - Apr 2012
• 

  Elutions

  May 2012 - now

  Develop and implement advanced algorithms and machine learning techniques designed to optimize energy consumption in the areas of HVAC assets, assets risk management (Reliability), quality control, manufacturing uplift, Failure / Shutdown Prevention; strategy increases production volume across process industries. Mange two verticals (Water and Liquified Natural Gas) with a focus on implementing AI solutions. Facilitated 25% reduction in time-to-market and increased customer satisfaction by implementing Agile project management methodologies to streamline software development processes and ensure timely delivery of intelligent enterprise solutions. Achieved a 15% reduction in overall costs and improved decision-making capabilities in Process and Manufacturing industries by developing and executing strategic plans designed to integrate artificial intelligence and machine learning algorithms into business processes.Design scalable solutions to optimize data analytics and reporting processes in close partnership with cross-functional teams; skilled in identifying and analyzing business requirements. Able to generate energy optimization measures to reduce operational inefficiency and increase production throughput. Drove innovation by developing and implementing advanced algorithms and machine learning techniques. Generated stability by optimizing energy consumption in the areas of HVAC assets, quality control, assets risk management (reliability), failure / shutdown prevention; strategy increased production volume across process industries. Tracked and improved energy optimization algorithms based on new vertical demands of clients and engineers. Consistently met project demands and timelines. Supported ongoing sales activities by providing comprehensive engineering services. Show less

  • Intelligent Enterprise Solutions Manager

    Feb 2017 - now

  • Lead Application Engineer

    Jan 2015 - Feb 2017

  • Application Engineer

    Jan 2013 - Dec 2014

  • Intern - Application Engineer

    May 2012 - Jan 2013