B3 Consulting Örebro AB

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Victor Hernandez

Machine Learning Consultant
Experienced researcher with a demonstrated history of working in the higher education industry. Skilled in machine learning, robotics, Python, C++, Pattern Recognition, Wireless Sensor Networks, and Data Science. Strong research professional with a Doctor of Philosophy (PhD) focused in Computer Science from Örebro University.

Experience

B3 Commit
Machine learning consultant
Feb 2019 - Pågående
Örebro
100 %
Victor’s duties is to help the sales and management team to establish a customer base. Victor’s work consists of performing data exploration, developing demonstrators and proof-of-concept systems. Victor’s duties also include presenting analysis and results to potential customers.
Data analysis Data mining Tensorflow Artificial intelligence Pandas Model evaluation Python Machine learning Deep learning

Örebro University
Lead Scientist
Nov 2015 - Feb 2017
Örebro
100 %
During his Ph.D. studies, Victor’s main research work was as the lead scientist in the project Gasbot. The project developed a mobile robot for the monitoring of methane emissions in landfill sites and was developed in cooperation between Örebro University and the municipality of Örebro. During the project, Victor developed a new approach that combined remote gas sensing, 3D perception and machine learning to estimate statistical models of gas distribution that showed likely locations of methane leaks. Due to its positive environmental impact, the project generated considerable attention, not only in local media, but also in international outlets. Gasbot was the recipient of two international awards and raised interest on new robotics applications, such as emission monitoring.
Mobile robots Machine learning Data collection Data Analysis Statistical modeling Model evaluation C/C++ Optimization

Örebro University
Robotics Researcher
Feb 2015 - Jan 2019
Örebro
100 %
Victor worked in several EU and national projects such as Smokebot (support robots for fire brigades) and RAISE (Indoor pollution monitoring with mobile robots). During his employment as a researcher, Victor collaborated with several industrial partners as well as research institutes such as the German Aerospace Center (DLR), the Tokio University of Agriculture and Technology, the University of Warwick and the fluid mechanics lab at Cornell University and the University of Malaysia-Perlis. In 2017 Victor was one of the co-recipients of the best paper award at the 2017 ISOCS/IEEE International Symposium on Olfaction and Electronic Nose, Canada. In addition, Victor co-supervised two Ph.D. students that worked on problems related to unsupervised learning and sensor planning based on optimization techniques.
Mobile robots Data collection Machine learning Probability theory Time series analysis Scientific writing Python C/C++ Git

Örebro University
Ph.D. Student
Jan 2011 - Jan 2015
Örebro
100 %
Victor was awarded a Ph.D. in computer science in 2015. His research topic focused on machine learning applied to environmental monitoring robots. In such area of research, Victor developed different statistical models for tasks such as prediction of pollution levels. This task requires, for example, the implementation and quantitative/qualitative analysis of different regression models and the selection of informative/useful variables. In addition, Victor worked with different machine learning techniques for classification, unsupervised learning and optimization.
Statistical modeling Data Analysis Machine learning Mobile robots Model evaluation Scientific writin c/c++

Delphi E&S
Software Engineer
Sep 2006 - Aug 2008
Mexico
100 %
Victor worked in projects related to Information and Entertainment radios for General Motors’ vehicles. Victor’s task included the implementing new functionality, conducting changes and testing.
Software engineering C/C++ Embedded systems

Delphi E&S
Systems Engineer
Aug 2005 - Aug 2006
Mexico
100 %
Worked as a systems engineer for different HVAC projects for customers such as General Motors and Ford. As a systems engineer, Victor tasks include requirement management and definition, visiting the customer’s production site for in-vehicle testing and coordinating between the different competencies (e.g. electric, software and manufacturing engineering) during the project’s life cycle.
Systems engineering Requirement management

Delphi E&S
Independent Test and Verification (IT&V) Engineer
Jan 2004 - Jul 2005
Mexico
100 %
Victor developed and executed test procedures for embedded modules. In addition, he developed an automated testing tool for network communications. The tool allowed to perform functional test of network communications (e.g. CAN, LIN, J1850) and produced pass/fail reports. The tool was quickly adopted by several projects in Delphi.
Software testing Embedded system In-vehicle systems C/C++

Education

Örebro University
Computer Science Ph.D.
2015

Örebro University
Robotics and Intelligent Systems M.Sc
2010

Technological University of the Mixteca
Electronics Engineering B.Sc.
2003

Skills

Artificial intelligence
Computer science
Data analysis
Data collection
Data mining
Machine learning
Matlab
Mobile robots
Pandas
Python
Scientific writing
Sensor systems
Software engineering
Time series analysis
C/C++
Embedded systems
Model evaluation
Probability theory
Statistical modeling
Digital image processing
Optimization
Requirement management
Robot perception
Software testing
Systems engineering
Azure ML
Big data
Configuration management
Deep learning
Hadoop
Java
R
Spark
Tensorflow

Roles

Data Scientist
Machine learning consultant
Lead Scientist
Robotics Researcher
Software Engineer
Systems Engineer
Test and Verification Engineer

Languages

Engelska
Svenska
Spanish

Preferences

Full time
Remote work
Right now
Örebro
Stockholm
Västerås

Primary contact

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