Keywords
Skills
* Python
* C
* C++
* Java
* Machine Learning
* C
* C++
* Java
* Machine Learning
Project history
LinkedIN profile: https://www.linkedin.com/in/rafael-lima-0a01943a/
github: https://github.com/limafael1982
WORK EXPERIENCE
Senior Software Developer, ESCALE Brasil - October/2018 - present - São Paulo, Brazil
ESCALE Brasil is a start-up company which accelerate sales of other companies using Data based
technology
⇢ Great experience working with solutions using Python and NodeJS deployed on Amazon
AWS services (such as Lambda, DynamoDB, and others) using Serverless, providing
microservices with high availability.
⇢ Developed a BOT written in Python that consults ESCALE’s marketing database and informs
to the Sales Team whether the sales are going well or not, so they can validate or create
new strategies to bring more revenue.
Software Developer/Data Scientist, Instituto Atlântico - Aug/2017 - Sep/2018 - Ceará, Brazil
Instituto Atlantico is a software development company that, for over 15 years, helps organizations from
various sectors and sizes transforming their innovative ideas into reality. Provider of solutions in
software, hardware and embedded systems, it has excellence in research and development using agile
and traditional methodologies. It is one of the leading Technical Institute from the Brazilian Northeast in
Research, Development and Innovation.
⇢ Responsible for creating failure detection routines using Machine Learning and Python 2.7,
implementing anomaly detection algorithms such as Principal Component Analysis (PCA)
applied to fault/anomaly detection, outlier detection, support vector machines (SVM), among
others, reducing costs with maintenance and decreasing unproductive time.
⇢ Success case working in a 3D printing Computer Graphics and Optimization Methods
project using Javascript/ReactJS, Java, Maven, C/C++ and Boost Libraries, being in charge
of the back-end (Java, C/C++) layer responsible for 3D objects manipulation.
⇢ Great ability implementing Java as a "middle-end" , along with Spring Boot and Hibernate, to
handle data and deliver it to the ReactJS/Frontend Layer, reducing precision errors on HP
3D printers.
⇢ Important achievement developing a new 3D packing algorithm, where Deep Neural
Networks are use to also reduce precision errors, improving the quality and accuracy of the
results.
PREVIOUS EXPERIENCES
⇢ Programmer (part-time), Instituto Atlântico - 01/2009 - Sep/2010 - Fortaleza, Ceará, Brazil
⇢ Programmer (part-time), IFCE - 08/2007 - 12/2008 - F
ortaleza, Ceará, Brazil
EDUCATION AND CERTIFICATES
⇢ 2010 M.Sc. in Machine Learning , Federal University of Ceará, Brazil
⇢ 2010 Associate Degree in Computer Systems , Federal Institute of Science and Technology of
Ceará, Brazil
TECHNICAL SKILLS
⇢ (8+ years): C/C++, Java, Spring boot, hibernate, Restful API
⇢ (5+ years): Machine learning, Cloud computing
⇢ (2+ years): Python, Lua, Javascript, React,Redux
⇢ (1 year): Amazon AWS, NodeJS
LANGUAGES
⇢ English - Fluent
⇢ French - Intermediate
⇢ Portuguese - Native
github: https://github.com/limafael1982
WORK EXPERIENCE
Senior Software Developer, ESCALE Brasil - October/2018 - present - São Paulo, Brazil
ESCALE Brasil is a start-up company which accelerate sales of other companies using Data based
technology
⇢ Great experience working with solutions using Python and NodeJS deployed on Amazon
AWS services (such as Lambda, DynamoDB, and others) using Serverless, providing
microservices with high availability.
⇢ Developed a BOT written in Python that consults ESCALE’s marketing database and informs
to the Sales Team whether the sales are going well or not, so they can validate or create
new strategies to bring more revenue.
Software Developer/Data Scientist, Instituto Atlântico - Aug/2017 - Sep/2018 - Ceará, Brazil
Instituto Atlantico is a software development company that, for over 15 years, helps organizations from
various sectors and sizes transforming their innovative ideas into reality. Provider of solutions in
software, hardware and embedded systems, it has excellence in research and development using agile
and traditional methodologies. It is one of the leading Technical Institute from the Brazilian Northeast in
Research, Development and Innovation.
⇢ Responsible for creating failure detection routines using Machine Learning and Python 2.7,
implementing anomaly detection algorithms such as Principal Component Analysis (PCA)
applied to fault/anomaly detection, outlier detection, support vector machines (SVM), among
others, reducing costs with maintenance and decreasing unproductive time.
⇢ Success case working in a 3D printing Computer Graphics and Optimization Methods
project using Javascript/ReactJS, Java, Maven, C/C++ and Boost Libraries, being in charge
of the back-end (Java, C/C++) layer responsible for 3D objects manipulation.
⇢ Great ability implementing Java as a "middle-end" , along with Spring Boot and Hibernate, to
handle data and deliver it to the ReactJS/Frontend Layer, reducing precision errors on HP
3D printers.
⇢ Important achievement developing a new 3D packing algorithm, where Deep Neural
Networks are use to also reduce precision errors, improving the quality and accuracy of the
results.
PREVIOUS EXPERIENCES
⇢ Programmer (part-time), Instituto Atlântico - 01/2009 - Sep/2010 - Fortaleza, Ceará, Brazil
⇢ Programmer (part-time), IFCE - 08/2007 - 12/2008 - F
ortaleza, Ceará, Brazil
EDUCATION AND CERTIFICATES
⇢ 2010 M.Sc. in Machine Learning , Federal University of Ceará, Brazil
⇢ 2010 Associate Degree in Computer Systems , Federal Institute of Science and Technology of
Ceará, Brazil
TECHNICAL SKILLS
⇢ (8+ years): C/C++, Java, Spring boot, hibernate, Restful API
⇢ (5+ years): Machine learning, Cloud computing
⇢ (2+ years): Python, Lua, Javascript, React,Redux
⇢ (1 year): Amazon AWS, NodeJS
LANGUAGES
⇢ English - Fluent
⇢ French - Intermediate
⇢ Portuguese - Native
Local Availability
Only available in these countries:
Netherlands
Right now, I am looking for a fulltime remote job.
Depending on the situation, I can be available for travel.
Depending on the situation, I can be available for travel.
