Roberto BuelvasRB
Open to opportunities

Roberto Buelvas

@robertobuelvas

I am a software engineer with experience in AI, IoT, and embedded systems

Colombia
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What I'm looking for

I obtained my PhD degree in Bioresource Engineering, a field that applies all branches of engineering to solve problems in agricultural and biological contexts. My research focused on developing data acquisition and processing systems to advance digital agriculture.

I am a versatile engineer with a strong background in mathematics and software applied across multiple projects including robotics and IoT. I have experience working on multidisciplinary projects combining mechanical, electrical, control, and software engineering.

I am a problem-solver with experience in the development of sensor systems for real-world applications like agriculture.

I am a creative individual with a unique combination of goal-oriented work style, self-driven personality, analytical mindset, and time management skills.

Experience

ChrysaLabs logoCH
Current

Mechatronics Engineer

ChrysaLabs

Jun 2021 - Present (2 years 11 months)

Developed embedded software in C for IoT agricultural sensor using FreeRTOS
Developed client interfaces in Go and Python
Developed quality control tests for production line in Python
Configured CI/CD pipeline with emphasis on automated testing

ChrysaLabs logoCH

Mechatronics Intern

ChrysaLabs

Mar 2019 - Sep 2020 (1 year 6 months)

Developed automated mobile drilling platform for soil sensing based around embedded Linux board, including software in Python

Implemented Machine Learning methods like Random Forest and Support Vector Machines for soil chemometrics in Python

McGill University logoMU

Graudate researcher

McGill University

Oct 2016 - Jul 2021 (4 years 9 months)

Implemented software in Python for multi-thread operation of different sensors like multispectral, ultrasonic, GNSS, and cameras, including GUI with wxPython

Performed preparation and analysis of large amounts of agricultural data in MATLAB and Python

Implemented nonlinear optimization algorithms in MATLAB

Implemented novel algorithm in Python for clustering in the context of remote sensing

Tech stack

Learn about the tools and technologies that Roberto likes to use.

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