Data scientist

(System control)
Development of software applications for the Global Engineering Center in the Intelligent Systems department. 
•	Development of features based on the technical requirements and designs of international clients
•	Improvement of the products and services of our customers by using intelligent computing and embedded systems.
•	Ensure units of work align with the strategic design for the application, with particular focus on the solution’s performance.

(Robot reactions based on Data)
Lead engineer of the Computer Vision department, it owned 30% of the software stack of all robots. I had to manage the referred stack. 
•	I rebooted the department and learned the structure of the existing stack so I could define the next developing steps. 
•	I increased the robot A.I. by the implementation of two new features: 
1)	Detection and filtering of objects (walls, boxes, shelves legs, etc.) in hangar warehouses for mobile robots, based in onboard laser images, success >97%. 
2)	User distance detection from areas of interest and robot reaction according to its position. 
•	Solved problem of robot user being tracked changing to someone else when it was not desired. The error went from 45% to <2%, only by tuning existent mathematical parameters. 
•	Teamed with other departments for the development of a new robot prototype deployed in an international logistics company (300 kg payload). Demos of the autonomous robots for international companies, investors, government dependencies, and banks. 

(Machine Learning based on Data streamed by diverse sources)
I contributed to a European research project:  Robotix Academy, a regional development project funded by the European Union until the year 2020 in the Großregion (20 partner institutions within Europe, https://robotix.academy). Thus, I have had performed in 7 European countries, worked abroad for around 18 months, and teamed up with professionals from 10+ nationalities. Activities:
•	State of the art evaluation to identify problems in the current robotics manipulation field. 
•	definition, solution design, and proposal generation for a novel approach to solve a current problem in the manipulation of deformable objects. Investigation and implementation of machine learning and mathematical models to evaluate the robotic grasping quality (object reaction to forces, movement primitives, FEM, etc.). 
•	Planning and execution of experiments with real robots and simulated ones. 
•	Co-supervised and instructed Robotic Systems sessions at undergraduate levels. 
•	Participation in accountability sessions with European Union commissaries.

(System Prediction Based on Data)
Team member of the Latin America regional department, which manages the production of the factories of all business units in the mentioned area.
•	Creation of software tool to automatically predict the risk of activity of a complete business unit in all Latin America factories. Prediction success >90%.
•	Evaluation of safe operation & compliance of automatic machinery in 4 local factories.
•	Development of a resource center to gather and treat the risk evaluation data from factories. The factories of a complete business unit in Latin America generate such data every month.

GPA: 16 - “Very Good” (scale: 0 to 20). Sponsored by an international scholarship granted by the Mexican government to the best Mexican students. One-year post-graduation. Formation in Artificial Intelligence, Computer Vision, Robotics, and Correct Practices at Research, Development, and Implementation (R+D+I). Half of the subjects were taught simultaneously at Carnegie Mellon University. 

Machine Learning, Automation, Microprocessors.

-1st semester: Finished the last subjects of the Mechatronics degree.

-2nd semester: Research placement for the Mechatronics degree thesis, closely related with the equilibrium system of the humanoid robot TEO of Universidad Carlos III de Madrid

Advanced use of Microsoft Office Suite, Microsoft Access, computer systems in business, principles of SQL databases, basic web site design and basic graphic design concepts. 

GPA 9.12 (scale: 0 to 10). Graduated from the best University in Iberoamerica according to international rankings. The acceptance rate/success of candidates applying to this degree is 8%. Received diverse national and international scholarships as a top performer. Including a one-year international exchange in the Universidad Carlos III de Madrid (UC3M) sponsored by Universidad Nacional Autónoma de México (UNAM). My thesis work was based on the use of a Neural network to predict humanoid robot data.

Thesis: Neural network training to predict bipedal robotic data

Mechatronic Design, Advanced Control Theory, Robotics, Instrumentation, Digital Electronics, Electrical Machines.

Simultaneous degree in Mechanical Engineering (Design and Computer-Assisted Manufacturing, Principles of Polymer Shaping, Machinery Dynamics, Thermal Machines).

Other Competencies:
http://www.ingenieria.unam.mx/paginas/Carreras/planes2010/ingMecatronica_Plan.htm