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Edwin Salcedo

  • Systems Engineer
  • Lecturer
  • Data Scientist
  • Research Engineer
Edwin Salcedo ABOUT ME

About Me

I'm a lifelong learner. To summarise, I am committed to developing innovative intelligent systems to improve other's lives. My academic research and professional projects occur at the intersection of four fields: Machine Learning, Internet of Things, Computer Vision, and Software Engineering.

MIT Innovator Under 35

Awarded due to my research in the computerized tomography field and its reutilization with virtual reality.

Chevening Scholar 2017/2018

Sponsored by the British government to further my studies in Advanced Software Engineering

National Science Prize 2016

Awarded due to my undergraduate final project related to healthcare.

About Skills

Edwin Salcedo

Bio: MIT Innovator Under 35, Chevening Alumni, and Systems Engineer. Edwin completed his Master's Degree in Digital Business Administration MBA at the Polytechnic University of Valencia (Spain). Then, he upgraded his tech and academic skills studying an MSc in Advanced Software Engineering at The University of Sheffield (United Kingdom) where he later worked as a Research Software Engineer and Graduate Teaching Assistant. He currently works as a Lecturer and Research Engineer in IoT and ML at UCB.

Outside of the academic arena, Edwin has had extensive experience as a software engineer, IT manager, and team lead. Until August 2020, he worked as a Research and Data Science Consultant for Hivos and Swisscontact.


Python Backend Development
JS Full Stack Development
Machine Learning and Data Science
Computer Vision

Most recent technologies used


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Game Design

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  • Years of Experience in Tech

  • Talks and Conferences

  • Kilometers in Marathons, Half Marathons and Races
  • Some facts


Working at "Bolivian Catholic University"

2020 - Present

Lecturer · Research Engineer
IoT/Machine Learning/Software Engineering/Teaching

Modules Taugh: DIT-500 Internet of Things Fundamentals, SIS-111 Programming Fundamentals, DAA-530 Unsupervised Machine Learning.
Developing an IoT system for a smart saline level monitoring device. Creating ML models for risk trajectories and anomaly detection.


My Projects

  • All
  • IoT
  • Machine Learning
  • Front-end
  • Back-end
  • Algorithms


I’m always interested in personal initiatives or professional projects where I can apply my knowledge in IoT,
\ Machine Learning, Computer Vision, and Software Engineering.



Conference Papers


Automatic system for rainfall monitoring and prediction with IoT and Machine Learning

Abstract: Environment information such as precipitation, temperature, solar radiation, soil and ambient humidity is fundamental to identify the climate change patterns across a country. For example, the monthly and daily records of these meteorological variables are important to locate regions that present water deficit (droughts) or excess (floods). By, monitoring, analysing, and evaluating this data, it is not only possible to take effective ac Continue reading...

Author(s): Edwin Salcedo Aliaga

International Congress of Computer Engineering (INFO 2017), Lima, Peru

PDF Oral presentation


I'm currently based in La Paz, Bolivia 🇧🇴

I actively collaborate organising workshops, mentoring, and giving talks in the following communities:


I'm always looking to expand my network and connect with like-minded people. Get in touch!