Our Team

Felipe Riquelme

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CTO Lugus Intelligence

In charge of planning, selecting and organizing the diverse technologies needed within the different projects, ensuring a modern and high quality standard in development practices, ensuring the successful implementation of our solutions.

Data Scientist - BrainFood

In charge of data analysis and development of adequate IT infrastructure required for Big Data Analytics.

Server configuration, database implementation and data communication protocols for the operation of large industries.

Researcher in IA Lab UC

Pontificia Universidad Católica de Chile
Period: 2018-present

Publicacations:
‘A Knowledge Base Approach to Improve Interpretability and Performance on the Visual Question Answering Task using Deep Neural Networks’. Publication in Image And Vision Computing, 2020.

MSc Computer Science

Pontificia Universidad Católica de Chile
Period: 2012-2018

Specialization in Artificial Intelligence, with an emphasis on models that answer questions from images (Visual Question Answering) without additional information using automatic image processing and Natural Language Processing (NLP).

Development of a logo recognition system in soccer matches. Working with object detection and image recognition models in Tensorflow with subsequent implementation on a web app using React with NodeJS for the company MegaTime.

BSc Computer Science Engineering

Pontificia Universidad Católica de Chile
Period: 2012-2018

Full-Stack developer for in a Django app called iHunt for the company Cuatro Hojas.

App development in Xamarin(.NET) called BoojaDish for the company CREAPP.

Full-Stack developer with Angular, Django and Docker during internship in Brainfood.

Personal Statement

Highly focused and motivated to get things done the right way, I am personally in charge of putting myself in the client's shoes to control that the quality of the technology, development and implementation of the work is executed as planned.

Ignacio Raposo

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COO Lugus Intelligence

In charge of business analysis, strategic modeling of solutions to maximize impact and definition of the correct scopes to pursue. Organize and maintain the development of solutions on the correct path, to achieve the most efficient and effective solution for the client's challenges.

Maintaining adequate logistical conditions for the correct execution of the work, including being constantly in contact with clients, and with a storng presence in terrain to keep information channels open and clear.

MSc Management of Complex Projects

University College London
Period: 2020-present

Strategic planning and control is not enough to manage projects that involve deep external or internal transformations during their life-cycles, such as digital transformation. When there are multiple dependencies, logistics and actors that are highly interconnected and need to coordinate under internal or external uncertainty, classical project dynamics are just not enough.

Researcher in the Smart Reliability & Maintenance Integration Lab

Universidad de Chile
Period: 2019-present

Investigación con respecto a aplicación de modelos de aprendizaje de máquinas que permitan controlar las predicciones basadas en la certidumbre de la predicción realizada por modelos de aprendizaje automático en contextos industriales. Research regarding the application of machine learning models that allow filtering the predictions based on the quantification of model uncertainty in industrial contexts.

Publications: soon...

Certificate Georgetown Social Innovation & Financial Inclusion

Georgetown University
Period: 2020

Recipient of one of the scholarships awarded by Santander. This course focuses on the development of new financial strategies through new technologies, in order to provide responsible access to financial instruments to new segments of the population while creating shared value.

Presented Project
Tokenization of bank loans using Blockchain technology. It allows to immediately increase bank liquidity, generating the possibility of the bank to cover a greater market share. In addition, it spreads the risk by sharing the loan participation with the general public with the means to make micro-investments. The attractiveness for the investor lies in the high ROI of the loans, where additionally the perceptual risk is distributed among the micro-participations.

Certificate MIT Lead Digital Transformation

Massachusetts Institute of Technology
Period: 2020

Recipient of one of the scholarships awarded by Santander. This course focuses on the strategic development required to lead successful digital transformation processes. The course is oriented to the correct management of personnel and infrastructure, strategic planning and knowledge of the advantages and disadvantages of deploying Blockchain, Machine Learning, Cloud Computing and Cybersecurity technologies.

Diploma in Big Data Analytics for Reliability and Maintenance

Universidad de Chile
Period: 2019-2020

Successful research work aimed at detecting operating anomalies one month prior to the failure of a critical non-sensorized aircraft turbine component, analyzing indirect sensors of adjacent equipment with machine learning models.

In charge of data exploration, analysis and engineering, in addition to the implementation and validation of the evaluated models.

Mechanical Engineering Title - First Class Honours

Universidad de Chile
Period: 2012-2019

Internship on the Head of Projects of BHP Billiton for Minera Escondida, Chile.

Intenship on Project Engineering in Bechtel Mining & Metals for QB2 mega project.

Teacher's assistant on Projects in Materials & Manufacture, and Physical Asset Management.

Specialization in Reliability Engineering and Research Operations.

Graduate thesis titled "Bayesian Deep Neural Networks for Maintenance under Uncertainty" on the field of applied Artificial Intelligence on industrial processes for physical asset management. Focused on quantifying prediction uncertainty of the deep neural network models for tasks of fault diagnostics and prognostics with high entropy.

Personal Statement

With a passion for solving complex dynamic problems, and a deep understanding of processes and the industrial world, my responsibility is to provide strategic solutions to our clients assimilating and associating transversal concepts from different areas to devise effective and efficient solutions to their challenges.

Manuel Cartagena

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CEO Lugus Intelligence

In charge of the correct internal functioning of the company, maintaining and upholding the standards, mission and vision. Estimation and monitoring of project financing, control of the working hours and decisions over the alternatives presented by the teams.

MSc Computer Science

Pontificia Universidad Católica de Chile
Period: 2012-2018

Specialization in Artificial Intelligence, with an emphasis on product recommendation models, and ongoing work with sound signals for audio generation.

Development of a logo recognition system in soccer matches. Working with object detection and image recognition models in Tensorflow and web implementation in React with NodeJS for the company MegaTime.

BSc Computer Science Engineering

Pontificia Universidad Católica de Chile
Period: 2012-2018

Personal Statement

Extremely committed to the service we provide, it is of primary importance that our clients receive the quality and results for which they have preferred us.