CV

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Education

Ph.D. in Mechanical Engineering, University of Campinas (UNICAMP) (Campinas, Brazil), 2020
M.S. in Mechanical Engineering, University of Campinas (UNICAMP) (Campinas, Brazil), 2016
B.S. in Mechatronics Engineering, Military University Nueva Granada (UMNG) (Bogotá, Colombia), 2014

Work experience

October/2020 - Present: Machine Learning Engineer/Developer
- Freelance
- Computer Vision and Deep Learning
July/2016 - September/2020: Graduate Student (Doctoral)
- University of Campinas (UNICAMP)
- Duties included: Development of different research, teaching and some administrative tasks.
- Supervisor: João Maurício Rosário
July/2015 - July/2016: Graduate Student (Master)
- University of Campinas (UNICAMP)
- Duties included: Development of Assistive Domotics based on EEG for disabled people
- Supervisor: João Maurício Rosário
Jan/2015 - Jan/2016: External Developer of questions for Quantitative area
- Instituto Colombiano para la Evaluación de la Educación (ICFES)
- Duties included: Develop multiple selection questions for test logical and mathematical skills
- Supervisor: Andrés Perico
Jan/2015 - July/2015: Research Assistant
- Military University Nueva Granada (UMNG)
- Duties included: Development of a 3D laboratory as a teaching tool for industrial automation using a PLC
- Supervisor: Darío Amaya Hurtado
Feb/2012 - Dec/2013: Research Student
- Military University Nueva Granada (UMNG)
- Duties included: Development of different research projects, related to robotics, image and signal processing, and automatic control.
- Supervisor: Professor Robinson Jiménez Moreno/ Darío Amaya Hurtado

Skills

Deep Learning
Computer Vision
Time-series analysis and forecasting
Mechatronics
Robotics
Signal and Image Processing
Automatic Control and Industrial Automation
Soft-Computing (Evolutionary Computing)
Data Science
Languages
- English (Basic professional)
- Spanish (Native)
- Portuguese (High professional)
Programming Languages
- Python (OpenCV, skimage, sklearn, Tensorflow, Keras, Pandas, Flask …)
- Matlab (Simulink, SimEvents, Signal and Image Processing)
- Other programming languages but not in use (C#, C++, Java, Javascript)
Robotic Simulator (V-REP-CoppeliaSim)

Informal Education/ Courses/ MOOCs/ Certifications

COURSERA SPECIALIZATIONS FINISHED

Deep Learning Specialization (~80h) - (2020) - Deeplearning.ai/ Coursera
- Sequence Models (16h) - (2020) - Deeplearning.ai/ Coursera
- Convolutional Neural Networks (20h) - (2020) - Deeplearning.ai/ Coursera
- Structuring Machine Learning Projects (5h) - (2020) - Deeplearning.ai/ Coursera
- Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization (18h) - (2020) - Deeplearning.ai/ Coursera
- Neural Networks and Deep Learning (20h) - (2020) - Deeplearning.ai/ Coursera
Machine Learning: Algorithms in the Real World Specialization (40 h) - (2020) - AMII/ Coursera
- Optimizing Machine Learning Performance - (2020) - AMII/ Coursera
- Data for Machine Learning - (2020) - AMII/ Coursera
- Machine Learning Algorithms: Supervised Learning Tip to Tail - (2020) - AMII/ Coursera
- Introduction to Applied Machine Learning - (2020) - AMII/ Coursera
DeepLearning.AI TensorFlow Developer Professional Certificate - Deeplearning.ai/ Coursera
- Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning (30h) - (2020) - Deeplearning.ai/ Coursera
- Convolutional Neural Networks in TensorFlow (26h) - (2020) - Deeplearning.ai/ Coursera
- Natural Language Processing in TensorFlow (14h) - (2021) - Deeplearning.ai/ Coursera
- Sequences, Time Series and Prediction (13h) - (2021) - Deeplearning.ai/ Coursera
Object Localization with TensorFlow (2h) - (2021) - Coursera
Machine Learning (2014) - Coursera

COURSERA SPECIALIZATIONS IN PROCESS

TensorFlow: Data and Deployment Specialization - Deeplearning.ai/ Coursera
- Device-based Models with TensorFlow Lite (10h) - (2020) - Deeplearning.ai/ Coursera
- Browser-based Models with TensorFlow.js (18h) - (2020) - Deeplearning.ai/ Coursera
Modern Big Data Analysis with SQL Specialization - Cloudera/ Coursera
- Analyzing Big Data with SQL (with Honors) (18h) - (2020) - Cloudera/ Coursera
- Foundations for Big Data Analysis with SQL (with honors) (12h) - (2020) - Cloudera/ Coursera
Machine Learning Engineering for Production (MLOps) Specialization - Deeplearning.ai/ Coursera
- Introduction to Machine Learning in Production (10h) - (2021) - Deeplearning.ai/ Coursera

LANGUAGE TESTS

EF SET English Certificate 72/100 (C2 Proficent) - EF Standard English Test (EF SET) - Certification

UDACITY

AWS Fundamental course in the AWS Machine Learning Scholarship (2020) - Udacity

DATACAMP AND OTHERS

Image Processing in Python (2021) - DataCamp
Interactive Data Visualization with Bokeh (2021) - DataCamp
Deep Learning in Python Track (20h) - (2021) - DataCamp
- Advanced Deep Learning with Keras in Python (4h) - (2019) - DataCamp
- Introduction to Deep Learning with Keras (4h) - (2020) - DataCamp
- Introduction to Deep Learning with PyTorch (4h) - (2021) - DataCamp
- Introduction to TensorFlow in Python (4h) - (2021) - DataCamp
- Introduction to Deep Learning in Python (4h) - (2020) - DataCamp
Introduction to Data Visualization with Matplotlib (4h) - (2020) - DataCamp
Introduction to Shell (4h) - (2020) - DataCamp
Analyzing Police Activity with pandas (4h) - (2020) - DataCamp
Python for Time Series Data Analysis (15h) - (2019) - Udemy
Unsupervised Learning in Python (4h) - (2019) - DataCamp
Network Analysis in Python (Part 1) (4h) - (2019) - DataCamp
Convolutional Neural Networks for Image Processing (4h) - (2019) - DataCamp
Machine Learning with the Experts: School Budgets (4h) - (2019) - DataCamp
Pivot Tables with Spreadsheets Course (4 h) - (2018) - DataCamp
Data Analyst with Python Track (47 h) - (2018) - DataCamp
Merging DataFrames with pandas Course (4 h) - (2018) - DataCamp
Intermediate Spreadsheets for Data Science Course (4 h) - (2018) - DataCamp
Data Analysis with Spreadsheets Course (3 h) - (2018) - DataCamp
Spreadsheet Basics Course (2 h) - (2018) - DataCamp
Supervised Learning with scikit-learn Course (4 h) - (2018) - DataCamp
Importing & Cleaning Data with Python (13 h) - (2018) - DataCamp
Python Programmer Track (36 h) - (2018) - DataCamp
Introduction to Databases in Python Course (2018) - DataCamp
Introduction to Data Visualization with Python Course (2018) - DataCamp
Introduction to Time Series Analysis in Python Course (2018) - DataCamp
Statistical Thinking in Python (Part 2) Course (2018) - DataCamp
Intro to SQL for Data Science Course (2018) - DataCamp
Statistical Thinking in Python (Part 1) Course (2018) - DataCamp
Manipulating DataFrames with pandas Course (2018) - DataCamp
pandas Foundations Course (2018) - DataCamp
Cleaning Data in Python Course (2018) - DataCamp
Introduction to Git for Data Science (2018) - DataCamp
Importing Data in Python (Part 1) Course (2018) - DataCamp
Importing Data in Python (Part 2) Course (2018) - DataCamp
Python Data Science Toolbox (Part 2) (2018) - DataCamp
Python Programming Track (2018) - DataCamp
Python Data Science Toolbox (Part 1) (2018) - DataCamp
Intermediate Python for Data Science (2018) - DataCamp
Intro to Python for Data Science (2017) - DataCamp

OTHERS

Business Modeling/ Modelagem de Negócios (2016) - Inova São Paulo
Introduction to Internet of Everything (2016) - Cisco Networking Academy
edX Verified Certificate in Cognitive Neuroscience Robotics – Part A (2016) - edX/OsakaUX

Publications

State Feedback Control System of a Bar and Beam Using Emulated Hardware in the Loop (HIL)

Caceres, C., Mora, J., Amaya, D., State Feedback Control System of a Bar and Beam Using Emulated Hardware in the Loop (HIL), (2015) International Review of Automatic Control (IREACO), 8 (1), pp. 32-38. doi:https://doi.org/10.15866/ireaco.v8i1.5135

Procesamiento de imagenes para reconocimiento de danos causados por plagas en el cultivo de Begonia semperflorens (flor de azucar)

Caceres Florez, Camilo Andres, Olga Lucia Ramos Sandoval, and Dario Amaya Hurtado. "Procesamiento de imagenes para reconocimiento de danos causados por plagas en el cultivo de Begonia semperflorens (flor de azucar)." Acta Agronomica 64, no. 3 (2015): 273-279.

Mathematical Modeling, Control and Simulation of a Suspension System with Energy Regeneration

Caceres, C., Mora Montanez, J., Amaya, D., Mathematical Modeling, Control and Simulation of a Suspension System with Energy Regeneration, (2015) International Review of Mechanical Engineering (IREME), 9 (4), pp. 377-381. doi:https://doi.org/10.15866/ireme.v9i4.6272

Design of a Bio-Inspired Equine Robot Prototype

Caceres, C., Puerta, J., Jimenez, R., Rojas, D., Design of a Bio-Inspired Equine Robot Prototype, (2016) International Review of Mechanical Engineering (IREME), 10 (1), pp. 12-17. doi:https://doi.org/10.15866/ireme.v10i1.7672

Simulation, Model and Control of a Quadcopter AR Drone 2.0

Caceres, C., Amaya, D., Rosario, J., Simulation, Model and Control of a Quadcopter AR Drone 2.0, (2016) International Review of Mechanical Engineering (IREME), 10 (3), pp. 197-202. doi:https://doi.org/10.15866/ireme.v10i3.8648

Approach to Assistive Robotics Based on an EEG Sensor and a 6-DoF Robotic Arm

Caceres, C., Rosario, J., Amaya, D., Approach to Assistive Robotics Based on an EEG Sensor and a 6-DoF Robotic Arm, (2016) International Review of Mechanical Engineering (IREME), 10 (4), pp. 253-260. doi:https://doi.org/10.15866/ireme.v10i4.9323

Development and interaction of a virtual laboratory assisted and controlled by PLC

Caceres, C. A., & Amaya, D. (2016). Desarrollo e interaccion de un laboratorio virtual asistido y controlado por PLC. Entre Ciencia e Ingenieria, 10(19), 9-15.

Design, Simulation, and Control of an Omnidirectional Mobile Robot

Caceres, C., Rosario, J., Amaya, D., Design, Simulation, and Control of an Omnidirectional Mobile Robot, (2018) International Review of Mechanical Engineering (IREME), 12 (4), pp. 382-389. doi:https://doi.org/10.15866/ireme.v12i4.13974

Control structure for a car-like robot using artificial neural networks and genetic algorithms

Caceres Florez, C.A., Rosario, J.M. & Amaya, D. Neural Comput & Applic (2018).https://doi.org/10.1007/s00521-018-3514-1

Camilo Andrés Cáceres Flórez

CV