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Gabriel Guillermo I.

USD $35/hr
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2 MS Biomedical Robotics UT Austin, Notre Dame. Part-time professor USFQ, ML, Data and Matlab Engineer

Tutor Information

About

My main professional and academic experience has been focused on incorporating technological solutions to different industries through data engineer and machine learning techniques. I own 2 startups in the tech-med industry, one in the solar energy industry and I was a part-time professor at Universidad San Francisco de Quito. My two MS were focused on Biomedical Robotics and Neural Engineering with a focus on ML techniques. Here I have worked in several research projects related with using brain computer interfaces to improve the functional recovery of post-stroke hemiparetic patients. My last MS thesis is based in using advanced machine learning algorithms to manipulate human organs and tissues for surgical robots. Overall, I have 8+ years of professional experience in data engineering and machine learning engineering.

Location

Quito, Ecuador

Language

Spanish, English

Timezone

America/Bogota

Levels

High School
College/University
Professional
I want to learn a new hobby

Education

The University of Texas at Austin

2020 - 2023
Master of Science, Mechanical Engineering: Biomedical Robotics
Graduate Research and Teaching Assistant Human Centered Robotics Lab and Robot Perception and Learnig Lab; Neuro-prosthesis and Brain Interaction Lab, Rewire Lab, The University of Texas at Austin. BioGIGA: 6-DoF grasp detection via implicit representation with a human-like manipulator. Publication. 3 publications in high impact journals. 1 book chapter on Elsevier: “Rehabilitation Robots for Neurorehabilitation in High, Middle and Low Income Countries: A Roadmap for Engineers and Clinicians”: “Ecuador: a promising case for providing high access to rehabilitation engineer”. Embedded coding and model base development for creating web apps using Matlab GUI and severs to implement different expriments that were conducted and adapated during the pandemic. Brain computer interfaces research for improving functional recovery on hemiparetic stroke patients. Deep RL learning simulation environment for manipulating deformable tissues for surgical robotics. Implemnted in Da vinci surgical robot and close work with Intuitive (producer company). Manipulation task such as: suturing and cutting. Technologies used: MongoDB, Python, ML, data engineering, embedded programmin, Matlab GUI, Model Based Development, Simulink, embedded controls development, Matlab, Solidworks, SQL, pytorch, tensorfow, conputer vision.

University of Notre Dame

2018 - 2020
Master of Science, Mechanical Engineering: Biomedical Robotics
Graduate Research Assistant at Aerospace and Mechanical Engineering Department Researcher at the locomotion and biomechanics lab. Conduct research regarding to human rehabilitation following spinal cord injury through data analysis of human exoskeletons. Technology development for Exo Bioniks that was brough form research to the market, ML control model development for exoskeletons. Technologies used: MongoDB, Python, ML, data engineering, Model Based Development, Simulink, embedded controls development, Matlab, SQL.

North Carolina State University

2015 - 2015
Bachelor of Science (visiting student), Mechanical Engineering
Visiting student.

Universidad San Francisco de Quito

2011 - 2016
Bachelor of Science, Mechanical Engineering
Independent Researcher Independent researcher: Theoretical & Computational Mechanics Group USFQ. Main author: Acoustic standing waves modelling in gas solid fluidized beds (2016). Collaborator: Damage tolerance of coatings: fracture behavior of WC-Co coatings under different residual stress states. DIC analysis for fracture mechanics of WC-Co coatings. Technologies used: C++, Matlab, Simulink, Solidworks. Professor Department of Continuing Education: Courses instructor: 1. Biomechanics of human body and Neuro Rehab (30 h). 2. Rehabilitation Engineering (40 h). Were rated on the top 5 courses of Continuing Education in 2020 and 2021. I have given 6 courses in total including in the Mechanical Engineering Department, Mathematics and Electrical Engineering Department. Instructor for Heat Transfer Lab and Principles of Calculus for Business. Technologies used: Matlab, ML, python, Simulink.

Work Experience

GLG

October 2021 - present
Independent IT Consultant
2 consulting project completed (5h direct advising with clients) to provide actionable insights as an expert in a specific topic. . 40 tech surveys completed to provide advise from an expert network for technological and strategic business decision. Topics of expertise: Python, Machine Learning, Cloud services, enterprise softwares implementation, e-commerce strategies based on data. Technologies used: Tech consulting, Google Cloud Service, python, ML, Data Engineering.

University of Texas at Austin

August 2020 - August 2022
Graduate Research and Teaching Assistant
Human Centered Robotics Lab and Robot Perception and Learnig Lab; Neuro-prosthesis and Brain Interaction Lab, Rewire Lab, The University of Texas at Austin. BioGIGA: 6-DoF grasp detection via implicit representation with a human-like manipulator. Publication. 3 publications in high impact journals. 1 book chapter on Elsevier: “Rehabilitation Robots for Neurorehabilitation in High, Middle and Low Income Countries: A Roadmap for Engineers and Clinicians”: “Ecuador: a promising case for providing high access to rehabilitation engineer”. Embedded coding and model base development for creating web apps using Matlab GUI and severs to implement different expriments that were conducted and adapated during the pandemic. Brain computer interfaces research for improving functional recovery on hemiparetic stroke patients. Deep RL learning simulation environment for manipulating deformable tissues for surgical robotics. Implemnted in Da vinci surgical robot and close work with Intuitive (producer company). Manipulation task such as: suturing and cutting. Technologies used: MongoDB, Python, ML, data engineering, embedded programmin, Matlab GUI, Model Based Development, Simulink, embedded controls development, Matlab, Solidworks, SQL, pytorch, tensorfow, conputer vision.

University of Notre Dame

August 2018 - May 2020
Graduate Research Assistant at Aerospace and Mechanical Engineering Department
Researcher at the locomotion and biomechanics lab. Conduct research regarding to human rehabilitation following spinal cord injury through data analysis of human exoskeletons. Technology development for Exo Bioniks that was brough form research to the market, ML control model development for exoskeletons. Technologies used: MongoDB, Python, ML, data engineering, Model Based Development, Simulink, embedded controls development, Matlab, SQL.

Anheuser-Busch InBev

January 2018 - May 2018
Logistics Trainee, and Warehouse Leader, Part of leading team of ML in Ecuador
$40k in monthly savings by redesigning the truck’s structure of the fleet. $10k in monthly savings through an app development for inventory managing that used basic computer vision tools to count the number of products on a warehouse. $500k in monthly savings by developing on app for managing the koint work of the sales, logistics, supply chain for LATAM by providing a better costumer experience. Integration with SAP using API and microdevelopments. Technologies used: computer vision, Solidworks, C#, SQL, python, SAP

TECPE S.A.

August 2017 - July 2018
External Advisor
CMMS MP Software installation and implementation, training to personnel, lifting of requirements and advising sevices. Implementation of software enterprise solutions for companies in the oil gas industry and manufacturing for managing manteinance. Clients: ENAP Sipec, Imptec, Fuerza Aérea Ecuatoriano (FAE). Technologies used: SAP, MP software, tech consulting.

Solar Village UIO

January 2017 - present
CEO, Founder, Robotics Manager, MDB/simulink Director, Data and ML Architect
3 operating solar generation projects in Ecuador. Currently operating. Co-CEO & Founder. Developer of new technologies. Geotracking implementation and thermodynamics simulation using MDB and Simulink. Product owner. ML model implementation to predict and optimize consumption with the integration and switch between the public and private network. Technologies used: MongoDB, Python, ML, data engineering, Model Based Development, Simulink, embedded controls development, Matlab, Solidworks, SQL.

SIME Sistemas Médicos USFQ

October 2016 - January 2018
R&D Coordinator, Data, ML and Tech Manager
Designer of new technologies in health care services including the development of a Drugstore Smart Machine in which we are pioneers in Ecuador and Latin America. Implement agile techniques to improve processes and the customer experience of patietns. ML model to improve custommer service. Technologies used: Slack, Solidworks, Jira, Trello, python, ML

Universidad San Francisco de Quito

August 2016 - January 2022
Professor
Department of Continuing Education: Courses instructor: 1. Biomechanics of human body and Neuro Rehab (30 h). 2. Rehabilitation Engineering (40 h). Were rated on the top 5 courses of Continuing Education in 2020 and 2021. I have given 6 courses in total including in the Mechanical Engineering Department, Mathematics and Electrical Engineering Department. Instructor for Heat Transfer Lab and Principles of Calculus for Business. Technologies used: Matlab, ML, python, Simulink

Farmabot

January 2015 - present
Chief Technology Officer, Data and ML Architect, Simulink and MDB Director
$6 million worth tech startup. We developed the first smart vending machine of medicines in Latin America. Data engineer techniques to integrate and incorporate our machines into the health care system of Ecuador (complying with all legal and technical requirements). ML control design and implementation for the smart vending machines (Simulink and MDB). ML model for predicting consumer behavior, sales and ecommerce for managing logistics and business strategies. Integration and complaiment with the Ecuadorian Health Care Systems thourgh microdevelopments and APIs. Clients: Main hospitals, clinics, and pharmacy chains in Ecuador. First place in 3-day startup contest, Silicon Valley: Ecuador chapter, 2016. First place “Enter” (Startup and Innovation Contest), Universidad San Francisco de Quito, 2017. Top 3 finalists Eday Contest (Startup division), Camara de Comercio de Guayaquil, 2017. Technologies used: MongoDB, Model Based Development, Simulink, Azure, Python, Solidworks, C#, SQL, Data engineering, ML, MDB, Matlab/Simulink, embedded controls development.

Universidad San Francisco de Quito

January 2014 - June 2018
Independent Researcher
Independent researcher: Theoretical & Computational Mechanics Group USFQ. Main author: Acoustic standing waves modelling in gas solid fluidized beds (2016). Collaborator: Damage tolerance of coatings: fracture behavior of WC-Co coatings under different residual stress states. DIC analysis for fracture mechanics of WC-Co coatings. Technologies used: C++, Matlab, Simulink, Solidworks. Anheuser-