Machine Learning & Electronics Engineer
- email: candres.alv@gmail.com
- cel: (+1) 510 704 3598 - (+57) 350 521 3741 - (+57) 300 269 9682
- linkedin: https://www.linkedin.com/in/calvarez92/
Trilingual Machine Learning and Electronics Engineer. Very interested in development of new technologies, hardware, internet of things, artificial intelligence, computer vision and deep learning. Experience creating and deploying real world solutions at scale for embbeded devices. Passionate for technology, science, and acquiring constantly new knowledge.
- Pontificia Universidad Javeriana Cali - Electronics Engineer diploma (2010-2016): Honorable mention with Thesis On Orthogonal Functions for the Detection and Characterization of Defects in Infrared Nondestructive Testing of Composite Materials
- Karlsruhe Institute of Technology (2015): Exchange semester in KIT Germany
- Deutsche Schule Cali Colombia (1997-2010) - Colombian and international baccalaureate (IBO): State exam (ICFES) 6/1000 (1 is the best)
- Kiwi Campus - Lead of Integration & AI Engineer (current): Deep Learning researcher for autonomous driving vehicles, in charge of integrating and implementing different pieces of software at device level. Design of software architecture and hardware.
- BD Guidance - IoT Development Engineer (2017): Investigated technologies such as TensorFlow and OpenCV to run ML algorithms in embedded devices. Programmed devices like Raspberry Pi and NodeMCU for closed environments and rooms applications. Designed the curriculum of various IoT courses and recorded one course. Evaluated various IoT/Cloud platforms. Evaluated IoT and Machine Learning services of various Cloud platforms. Presented webinars and talks about IoT and ML several times. Designed the curriculum of various IoT courses and recorded one course.
- Tesat Spacecom - Research intern (2015): Participated in a development project which was the design of Ka band (20GHz) passband filters that were adjustable in their center frequency on the satellite in-orbit.
- Characterization of defects of pulsed thermography inspections by orthogonal polynomial decomposition in Elsevier NDT & E International
- easy_memmap: Python memmap wrapper to share arrays easily between processes.
- extended_rospylogs: Extension of logs for rospy based on roscpp.
- node-red-contrib-sensor-ds18b20: Node-RED contrib node to get temperature in centigrades from DS18B20 sensors.
- Contributor to dataget: download, extract and process popular machine learning datasets with a single line of bash or python.
Embedded Systems, Internet of Things, Signal Processing, Hardware Development
Deep Learning/Neural Networks, Artificial Intelligence, Machine Learning
- Spanish: native
- English: C1
- German: C1
Python: 5+ years, Matlab+Simulink: 5+ years, C: 2+ years, C++: 2+ years, Mathematica: 1+ years, JavaScript: 1+ years, Java: 1+ years
Hardware and Systems: VHDL, SDL MSC, UML
Mini-projects: C, Java, Coq
- Circuits: Multisim, PSpice.
- Electromagnetics: ADS, HFSS, CST, MMana-Gal, QuickField.
- Hardware: Quartus suite, Xilinx suite
Hardware: Xilinx and Altera FPGAs, Arduino (Mini, Nano, Uno), Raspberry Pi (2,3), ESP8266 (NodeMCU, Wemos), RF Modules (nRF24L01)
Data Science: Tensorflow (python), Scikit Learn (python), Pandas, Numpy
Development: Flask (python), Git
- Co-founder of SmartCities & IoT Meetup Medellin
- Co-founder of Machine Learning Meetup Medellin
- Administrator in Machine Learning Colombia
- Contributor to colomb-ia
- Using TensorFlow for Deep Learning on Autonomous Vehicles at Kiwi Campus at Advanced-Spark-and-TensorFlow-Meetup
- IoT con NodeRed & Watson at SmartCities & IoT Meetup Medellin
- Introduction to Machine Learning at BDG Institute Colombia Tour
- Introducción al Internet de las cosas (IoT) con Raspberry Pi, Node-Red y Watson with BD Guidance on Youtube.
- Running Convnets on RaspberryPi
- IoT Demo with Raspberry, Node-Red and Watson
- Sentiment Analysis using Images with Google
- Snapchat filters in Python with OpenCv and Dlib
- Docker image for python openCV with contrib modules
- Object Oriented Programming in Java by University of California on Coursera
- Quantum Mechanics for Scientists and Engineers by David Miller on Stanford Online
- Machine Learning by Andrew Ng on Coursera
- Audio Signal Processing for Music Applications by Xavier Serra (Universitat Pompeu Fabra of Barcelona) on Coursera
- "Beca Saber Pro" (2016), 2.500.000 pesos for postgraduate studies in PUJ Cali. Second best result of state exams in the university’s engineering faculty.
- “DAAD Jóvenes Ingenieros Colombia ” (2014/15) All inclusive exchange program in Germany.
- "Beca Magis" (2010/16) 75% tuition fees all semesters for graduate studies.
- PAD all inclusive scholarship (2009) student exchange in Germany for one month.
- Highest GPA of electrical department. Winter semester 2013
- Three times highest GPA. Winter semester 2010, summer and winter semester 2011.
- Music: trombone and drums
- Traveling
- Cristian García - Lead Data Scientist at Kiwi Campus. Cel: 314 862 7978, email: cgarcia.e88@gmail.com
- Orlando Briceno - CEO at BD Guidance. Cel: 321 477 2967, email: orlando.briceno@bdguidance.com
- Dr. Luis Eduardo Tobón - Director of Postgraduates programs at Javeriana University. Cel: 311 335 7844, email: letobon@javerianacali.edu.co
- Dr. Tobias Kaesser - Passive Products at Tesat-Spacecom. Email: Tobias.Kaesser@tesat.de