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Luis Berga Phones & Addresses

  • Austin, TX
  • 6888 Friars Rd, San Diego, CA 92108
  • 29195 Dean St, Laguna Niguel, CA 92677

Resumes

Resumes

Luis Berga Photo 1

Chief Executive Officer

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Location:
Austin, TX
Industry:
Medical Devices
Work:
Medical Devices Development
Chief Executive Officer

Livanova
Strategy Operations Consultant

Apollo Endosurgery Jun 2012 - Aug 2015
Director, Manufacturing Operations

Lombard Medical Technologies Mar 2010 - Dec 2011
Vp, Operations

Orqis Medical Apr 2008 - Mar 2010
Vp, Operations
Education:
Argosy University May 2012
Doctorates, Doctor of Business Administration
University of Puerto Rico Distinguished Alumni 2001
Pepperdine University Dec 1998
Master of Business Administration, Masters
Pepperdine Graziadio Business School 1996 - 1998
Master of Business Administration, Masters, Management
University of Puerto Rico May 1975
University of Puerto Rico - Cayey 1970 - 1975
Crosby Quality College
Skills:
Medical Devices
Fda
Quality System
Manufacturing
Leadership
Lean Manufacturing
Cross Functional Team Leadership
Iso 13485
Product Development
Continuous Improvement
Six Sigma
Strategy
Manufacturing Engineering
Management
Design Control
Operational Excellence
Business Strategy
Start Ups
Supply Chain
Commercialization
Capa
R&D
Contract Manufacturing
Process Improvement
Change Management
Strategic Planning
Spc
Validation
Leadership Development
Design of Experiments
Root Cause Analysis
Dmaic
Green Belt
Quality Assurance
Gmp
Manufacturing Operations
Iso
Quality Management
Quality Control
Fmea
Global Strategy
Strategic Leadership
Engineering
International Management
Balanced Scorecard
Global Leadership
Higher Education
Staff Mentoring
Quality Leadership
Change Leadership
Interests:
Civil Rights and Social Action
Education
Environment
Poverty Alleviation
Science and Technology
Human Rights
Arts and Culture
Health
Languages:
English
Spanish
Luis Berga Photo 2

Product Manager

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Location:
Austin, TX
Industry:
Financial Services
Work:
Prototype Capital
Venture Scout

Austin Technology Incubator Sep 2015 - Sep 2017
Senior Associate Bio and Health Sciences Vertical

Startuprunner Dec 2014 - Sep 2015
Startuprunner

Startuprunner Jan 2015 - May 2015
Junior Startuprunner

Cabrillo Advisors, Llc Jun 2010 - Dec 2014
Associate
Education:
The University of Texas at Austin - Red Mccombs School of Business 2015 - 2016
Masters
University of San Diego 2003 - 2007
Bachelors, Bachelor of Business Administration
Skills:
Start Ups
Venture Capital
Strategy
Marketing Strategy
Management
Leadership
Private Equity
Financial Modeling
Corporate Finance
Marketing
Entrepreneurship
Valuation
Strategic Planning
Social Media
Social Media Marketing
Business Development
New Business Development
Business Communications
Financial Analysis
Microsoft Excel
Corporate Development
Mergers and Acquisitions
Investments
Lean Startup
Languages:
English
Spanish
Certifications:
Lean Analytics Workshop - Alistair Croll and Ben Yoskovitz
Udemy
Lean Analytics Workshop - Alistair Croll and Ben Yoskovitz (Link)
Luis Berga Photo 3

Vp, Operations

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Industry:
Medical Devices
Work:
Orqis Medical
Vp, Operations

Business Records

Name / Title
Company / Classification
Phones & Addresses
Luis Enrique Berga
Manager
Music Meets Video, LLC
Luis J. Berga
Owner, President
LUIS BERGA & ASSOCIATES, INC
Management Consulting Services
29195 Dean St, Laguna Niguel, CA 92677
(949) 495-9587

Publications

Us Patents

Systems And Methods For Using Artificial Intelligence To Dynamically Create An Exercise Program Based On A User Energy Score

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US Patent:
20220401794, Dec 22, 2022
Filed:
Jun 13, 2022
Appl. No.:
17/839164
Inventors:
- Longmont CO, US
Luis BERGA - Austin TX, US
Steven Mason - Las Vegas NV, US
International Classification:
A63B 24/00
G06N 20/00
Abstract:
Systems, methods, and computer-readable mediums for generating, by an artificial intelligence engine, an exercise program comprising a first user energy score, wherein the method comprises generating, by the artificial intelligence engine, the exercise program including an exercise plan including a plurality of exercises. Each respective exercise is associated with user energy consumption metrics based at least on a metabolic equivalent of task (MET) value, and based on the user energy consumption metrics, the first user energy score is associated with the exercise program. The method includes receiving data pertaining to a plurality of users. The data includes physical activity goals the plurality of users desires to achieve. The method includes determining second user energy scores for the physical activity goals, and based on the first and second user energy scores, assigning, by the artificial intelligence engine, at least a subset of the plurality of users to the exercise program.

Adjustment Of Exercise Based On Artificial Intelligence, Exercise Plan, And User Feedback

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US Patent:
20220314072, Oct 6, 2022
Filed:
Nov 4, 2021
Appl. No.:
17/519403
Inventors:
- Longmont CO, US
Luis Berga - Austin TX, US
Steven Mason - Las Vegas NV, US
Assignee:
Rehab2Fit Technologies, Inc. - Longmont CO
International Classification:
A63B 24/00
A63B 22/06
G16H 20/30
G06N 20/00
Abstract:
A method for generating an exercise session for a user using an exercise machine is disclosed herein. The method includes receiving a plurality of inputs, wherein the plurality of inputs comprise an indication of a level of pain of the user and a range of motion of a body part of the user. The method also includes determining, based on the plurality of inputs, an exercise level of the user, generating, using a machine learning model, the exercise session for the user by selecting, based on the exercise level of the user, one or more exercises to be performed by the user using an exercise machine, and causing initiation of the exercise session on the exercise machine and a virtual coach executed by a computing device associated with the exercise machine to provide instructions pertaining to the exercise session.

Systems And Methods For Using Artificial Intelligence To Generate Exercise Plans Based On User Energy Consumption Metrics

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US Patent:
20220314073, Oct 6, 2022
Filed:
Mar 30, 2022
Appl. No.:
17/709161
Inventors:
- Longmont CO, US
Luis Berga - Austin TX, US
Steven Mason - Las Vegas NV, US
Assignee:
Rehab2Fit Technologies, Inc. - Longmont CO
International Classification:
A63B 24/00
G16H 20/30
Abstract:
Systems, methods, and computer-readable mediums for generating, by an artificial intelligence engine, an exercise plan for a user to perform. The method comprises receiving data pertaining to the user and generating user energy consumption metrics for a plurality of exercises. Each of the user energy consumption metrics is generated for a respective one of the plurality of exercises based at least on a metabolic equivalent of task (MET) value for the respective one of the plurality of exercises and user fitness test results. The method also includes generating the exercise plan based at least on the user energy consumption metrics and a user energy score. The exercise plan includes at least a subset of the plurality of exercises to be performed by the user to attempt to achieve the user energy score. The method further includes transmitting the exercise plan to a computing device.

System And Method For An Artificial Intelligence Engine That Uses A Multi-Disciplinary Data Source To Determine Comorbidity Information Pertaining To Users And To Generate Exercise Plans For Desired User Goals

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US Patent:
20220314074, Oct 6, 2022
Filed:
Mar 30, 2022
Appl. No.:
17/709184
Inventors:
- Longmont CO, US
Luis Berga - Austin TX, US
Steven Mason - Las Vegas NV, US
Assignee:
Rehab2Fit Technologies, Inc. - Longmont CO
International Classification:
A63B 24/00
Abstract:
A method is disclosed for generating an improved exercise plan for a user to perform using at least an exercise machine. The method includes receiving data pertaining to the user. The data includes a physical activity goal the user desires to achieve and the physical activity goal includes levels of attainment to achieve. The method includes generating, by an artificial intelligence engine, the improved exercise plan. The improved exercise plan includes a set of exercises to be performed by the user to achieve the levels of attainment associated with the physical activity goal. The artificial intelligence engine uses at least one data source configured to include information pertaining to one or more exercises and at least one of the levels of attainment associated with the physical activity goal. The method includes transmitting the improved exercise plan to a computing device.

Multidimensional Exercise Control System

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US Patent:
20220314077, Oct 6, 2022
Filed:
Nov 5, 2021
Appl. No.:
17/519777
Inventors:
- Longmont CO, US
Luis Berga - Austin TX, US
Steven Mason - Las Vegas NV, US
Assignee:
Rehab2Fit Technologies, Inc. - Longmont CO
International Classification:
A63B 24/00
A63B 71/06
Abstract:
A multidimensional exercise control system is disclosed herein. In one embodiment, a control system of an exercise machine comprises a memory device storing instructions, a user interface for presenting a video game with an avatar, and a processing device operatively coupled to the memory device and the user interface. The processing device is configured to execute the instructions to receive sensor data from a sensor operatively coupled to an exercise machine, wherein the sensor data comprises one or more measurements; responsive to the one or more measurements, cause the avatar to change a position in the video game; compare the one or more measurements to a target threshold; determine whether the one or more measurement exceed the target threshold; and responsive to determining that the one or more measurements exceed the target threshold, cause the user interface to present a modification to the video game.

Method And System For Using Artificial Intelligence To Independently Adjust Resistance Of Pedals Based On Leg Strength

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US Patent:
20230001268, Jan 5, 2023
Filed:
Sep 2, 2022
Appl. No.:
17/902473
Inventors:
- Longmont CO, US
Luis Berga - Austin TX, US
Steven Mason - Las Vegas NV, US
Philip Powers - Denver CO, US
James D. Steidl - Denver CO, US
Assignee:
Rehab2Fit Technologies, Inc. - Longmont CO
International Classification:
A63B 24/00
G16H 20/30
G06N 20/00
A63B 23/04
A63B 21/005
A63B 71/06
Abstract:
A method is disclosed for using an artificial intelligence engine to modify resistance of pedals of an exercise device. The method includes generating, by the artificial intelligence engine, a machine learning model trained to receive measurements as input, and outputting, based on the measurements, a control instruction that causes the exercise device to modify, independently from each other, the resistance of the pedals. While a user performs an exercise using the exercise device, the method includes receiving the measurements from sensors associated with the pedals. The method includes determining, based on the measurements, a quantifiable or qualitative modification to the resistance provided by a pedal of the pedals. The resistance provided by another pedal of the pedals is not modified. The method includes transmitting the control instruction to the exercise device to cause the resistance provided by the pedal to be modified.
Luis E Berga from Austin, TX, age ~40 Get Report