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Electrical /Software Engineer

Location:
Brighton, Massachusetts, United States
Posted:
December 07, 2018

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Resume:

Diego Orellana (US citizen)

MA; Cell: +1-857-***-****; ac7wgj@r.postjobfree.com

Electrical Engineer (BS/MS)

Electrical engineer with working data science and software engineer experience. Looking for a long-term position. Strengths: the capacity for quickly adapting to a broad spectrum of engineering tasks in both software and hardware. My goal is to use the latest technology and algorithms to improve processes. Core Competencies

Machine Learning Algorithms.

Adept in statistical modeling.

Tensorflow, Tensorflow-serving.

Computer Vision Algorithms.

Proficient in C#, Python, Java,

SQL.

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Bilingual English

& Spanish.

Data Visualization.

• Valedictorian from the University.

• High School GPA 4.0.

Cryptocurrency Algorithmic trader self-employed Jan 2018 to present US;

• Designing and implementing a platform for back-testing cryptocurrency trading algorithms.

• Some of the tools used: Python, Tensorflow, InfluxDB, Grafana, Linux, Docker, web APIs. Machine learning Engineer Medivis Jan 2018 to Aug 2018 (I completed the required task) US;

(www.medivis.co)

• Designed and implemented the integration of tensor-flow to the company’s software. The company’s software was made using Unity.

• Implemented and integrated state of the art algorithms for medical data segmentation.

• In the architecture I designed I used Python, tensorflow-serving, tensorflow-GPU, docker, Unity (C#). Engineer trainee 3D industries Sept 2017 to Nov 2017 (project frozen) US; (http://3dindustri.es/)

• Reviewed state of the art papers for 3D data manipulation, focusing on the job of Leonidas Guibas.

• Adapted the code (https://github.com/charlesq34/pointnet) of one of the papers to fit my own data.

• Used tensor-flow on GPU to train and test the network from the pointnet paper. Big Data Developer Akainix Mar 2017 to Aug 2017 (Moved to the US) Santiago, Chile; (www.akainix.com)

(www.pentagonsecurity.com)

• Developed software for cloud computing security and cloud computing security visualization using big data tools: Spark, Kafka, Kudu, Logstash, Kibana, Elasticsearch, nDPI, Zoomdata in a Linux environment.

• Made Scripts in Bash and Python. Completed all assigned tasks in a very fast paced environment. QA Engineer Nuance Aug 2016 to Feb 2017 (Office closed) Cambridge, Massachusetts

(www.nuance.com )

• Created QA Automation tests using Java (Selenium package) for speech recognition software.

• Managed to work successfully in an Agile-Scrum environment.

• Created scripts in python to eliminate repetitive tasks achieving considerable savings and improving work efficiency for the whole team. I conceived, visualized, and implemented the idea after a careful analysis of the tasks at hand.

• Conducted tests for both the English and Spanish on speech recognition software.

• Incremented the work efficiency of our team by helping my coworkers better understand their assigned tasks regarding the technology, hardware and software used in our job.

• Ended up with 3 times the workload of my coworkers because of my ability to work fast and efficiently. Mathematical modeler Pontifical Catholic University of Chile, Jan 2015 to Apr 2015 (Moved to the US) Santiago, Chile (www.mri.cl/),

• Created an inverse reconstruction model from a magnetic resonance spectrum of a human liver using Matlab.

• Implemented mathematical algorithms for the reduction of MRI scan time (Compressed sensing) using applied mathematics, neural networks, and optimization algorithms, software development, and data visualization. Data Scientist Los Andes University Dec 2013 to Feb 2014 (Internship) Santiago, Chile ( http ://ing.uandes. cl/ ) Internship

• Improved the work performance of a team of electrical and computer science engineers by helping them in their tasks of understanding and coding several machine learning algorithms.

• Created a report document empirically comparing the predicting performance of the most used machine learning algorithms using real medical data. Coded, optimized, and tested all these algorithms in Matlab (SVM, ANN, Random forest, KNN, K-means, Naive Bayes)

Education

[Electrical Engineer], Los Andes University, Chile, Six year program. [Mar 2008 to Apr 2015]

[High school diploma], Cordillera de Las Condes High school, Chile. [Graduated in Nov 2007]



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