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PHONE NUMBER AVAILABLE EMAIL AVAILABLE LINKEDIN LINK AVAILABLEMACHINE LEARNING / DATA ANALYTICS / SOFTWARE ENGINEERAccomplished IT professional, software engineer, and researcher, with experience in software application development, in the Data Science/Machine Learning field, and as a software developer, in-depth R&D into biomedical, civil, and mechanical engineering. Proficient skills in Big Data analytics, mathematical algorithms, hardware circuit integration, theoretical modeling, and adaptive programming. Proven ability to lead teams of software engineers, and implement complicated numerical and commercial software applications through their full life cycle using modern technologies.Numerical & Statistical Analysis Big Data Technologies Data Acquisition & ProcessingObject-Oriented Java Programming Complex Application Development Mathematical AlgorithmsData Structures & Collections System Modeling Hardware Integration Automated ControllersLanguages: Python, Java, C/C++, Visual BasicWeb: HTML5, CSS3, JavaScript, jQuery, Servlet, JSP, Bootstrap, FlaskWeb/App Servers: Apache TomcatFrameworks: Apache Spark, Apache Hadoop, Spring, HibernateDatabases: MySQL, SQLDesign Patterns: Singleton, Factory, Session, Session Factory, Observer, PrototypeSDLC: Agile-ScrumTools: PyCharm, IntelliJ IDEA, Visual Studio Code, EclipsePlatforms: Linux Ubuntu, WindowsBig Data: AWS, Spark, Hadoop, Google Colab, Jupyter Notebook, RStudio, R MarkdownEDUCATIONMaster of Science in Computer Science and Data ScienceMaharishi International University Fairfield, Iowa(In progress via distance education; expected completion October 2021)Key Courses: Fundamental Programming Practices; Modern Programming Practices; Web Application Programming; Big Data Analytics; Machine Learning; Algorithms; Big Data; Big Data Technologies; Database Management Systems, Project Management.Bachelor of Engineering in Computer Systems EngineeringUniversity of Los Andes Merida, VenezuelaMACHINE LEARNING / BIG DATA / NLP PROJECTS(https://github.com/Candidate's Name /MachineLearningProjectsResults)Object Detection - Image Captioning - Text to Speech (for image captioning: Keras with TensorFlow back-end / Inceptionv3 encoding and transfer learning / LSTM decoding / Greedy and Beam search and Text2Speech (Pyttsx / gTTS))Contextual ChatBot (DNN, Python PyCharm / Flask / Pickle, Google Colab, Jupyter, and Bootstrap.)Sentiment Analysis (NLTK / Logistic regression with Python as back-end)Spam detector (Python Flask UI as front-end, Multinomial Naive Bayes Classifier as back-end)Name-Gender Classifier (Python Flask UI as front-end, Naive Bayes Classifier as back-end)Recommendation System (EDA analysis and content feature extraction, numerical and categorical feature analysis and selection, demographics, content-based, and collaborative filtering. Technologies included Python (PyCharm / Flask / Pickle)Association Mining (Hadoop / R (Inventory/products relationship and similarities))Document similarity (R cosine/euclidean distance similarity)Anime Rating Predictor (AutoML, DecisionTree, CNN, Python / Flask / Pickle, and Bootstrap.)PROFESSIONAL EXPERIENCECAREER NOTE: Completed on-campus studies and currently taking distance education courses to complete a Master's Degree in Computer Science (Available for full-time, W-2 employment)HAVOC SHIELD, Chicago, Illinois 10/2019-01/2020Cyber security program software as a service for small businesses.Contract Software Consultant: Advised CTO on application software design.Tasks Performed: developed custom plugins to extend existing functionality, working with complex logic requirements.Technologies Used: Visual Studio Code, Windows, Linux.MAHARISHI INTERNATIONAL UNIVERSITY, Fairfield, Iowa 02/2019-10/2021Machine Learning / Data Analyst / Data Engineering / Data Science (expected completion Oct 2021 via distance education)Tasks performed:Object Detection & Image Captioning & Text2Speech, MIU (2019): Developed application that uses an image to generate object detection (YOLOv3), image description (CNN-LSTM), and audio of caption text (Google Text-to-Speech). Technologies: Running Environment (colab.research.google.com/Python3 as engine back-end / GPU hardware accelerator), Object Detection with YOLOv3 (Darknet-53 architecture), Image Captioning (Keras with TensorFlow back-end / Inceptionv3 encoding and transfer learning / LSTM decoding / Greedy and Beam search), and Text2Speech (Pyttsx / gTTS).https://github.com/Candidate's Name /MachineLearningProjectsResults/tree/master/VisionImageCaptioningMovie Recommendation System, MIU (2019): Created UI to show movie recommendations to the user according to demographics, content-based, and collaborative filtering. Technologies included Python (PyCharm / Flask / Pickle), Google Colab, Jupyter Notebook, Bootstrap, and RESTful API on Docker.https://github.com/Candidate's Name /MachineLearningProjectsResults/tree/master/MovieRecommenderSystemAnime Rating Predictor, MIU (2019): Implemented and validated application to take parameters and predict ratings using classification models that have been tuned and validated using Machine Learning criteria. Technologies included Python (PyCharm / Flask / Pickle), Google Colab, Jupyter, and Bootstrap.https://github.com/Candidate's Name /MachineLearningProjectsResults/tree/master/AnimeRatingPredictorJustAsk!, MIU (2019): Developed interactive UI to log in, subscribe, post questions, answer, and rate. Used Java, HTML, JavaScript, jQuery, IntelliJ, MySQL, and GitHub.QUARO, MIU (2019): Implemented Model, Controller, and View (MVC) of subscription application to store information and comments using functional programming and test cases. Technologies included Java, IntelliJ, Spring Boot, Angular, MySQL, Postman, Git, Maven, JSON, JDBC, StarUML, and Mockito.OMNIVEN TECHNOLOGY SERVICES, Merida, Venezuela 10/2013-12/2018Software development company designed to fulfill clients' adaptable solutions and needs.Machine Learning / Data Analytics Engineer / Software Consultant / Founder: Developed and distributed green and portable technologies in the industries of GPS tracking, health, VoIP, solar, and security.Tasks Performed:Designed application system, contributing to every phase of the software development life cycle using Big Data technologies, Java and Java-based technologies.Key member of client negotiations and pre-production presentations.Achievements:Implemented the first stages of Point of Sale system which calculates detailed consumption of service items and required quantity from inventory, according to preparation and presentation.Customer behavior analysis implementation to search for consumption patterns to improve inventory acquisition and management.Technologies Used: Hadoop, Java, IntelliJ, Eclipse, Visual Studio Code, MySQL, Windows, Linux.CONTROL SYSTEMS ENGINEERING, Merida, Venezuela 02/2004-01/2012Free profession exercise.Data Analyst /Systems Engineering Developer / Project Leader: Conducted practical implementation and functional development of prototype system Portable Automatic Continuous Power Supply.Tasks Performed:Manufactured modular data acquisition circuitry used to automate power control.Gathered requirements and prepared functional and technical specifications.Developed controlling software and foundation of remote communication modules.Implemented front-end and back-end modules using Java and Java technologies.Developed software which reads access cards, gathers data through a sensor, and verifies data with a database, to grant system permissions using C and C++.Used adaptive programming numerical and statistical analysis of data, stored on predictive models.Determined use cases, best practices, and auto-failover. Fully tested components and modules.Calculated and integrated regulatory modules based on performance specifications. Selected and tested optimal materials. Participated in UATs, presentations, and port to production environments.Achievements:Successfully created algorithms that calculate storage capacity and energy recharge requirements using average power control logic diagrams.Developed self-regulating circuits to integrate control actuators and analyze signals from VDC/VAC conversion through filters, temperature sensors, power meters, and voltage and current regulators.Technologies Used: Hadoop, Java, Servlet, MySQL, C/C++, Eclipse, Visual Studio, WindowsUNIVERSITY OF LOS ANDES, Merida, Venezuela 01/2001-08/2003Civil Engineering School.Data Analyst / Programmer / Researcher: Determined safety factor and corresponding critical fault curve on an irregular slope, by applying variation calculus and numerical analysis. Directed design tasks and model evaluation.Tasks Performed:Coded to industry standards, and successfully implemented complex models.Analyzed, developed, and implemented mathematical and statistical models.Developed back-end modules for mathematical non-linear equations using MatLab. Presented the resultant failure curves. Coded modules and database using C++ and Visual Basic.Achievements:Member of the group which presented "Calculus of Variations and Numeric for the Study of the Stability of an Irregular Slope" to V Scientific-Technical Conference 2002.Reduced computation time by 92% and increased slope cut number to 128 through a hybrid model.Technologies Used: MATLAB, Visual Basic, C/C++, MathWorks, Visual Studio, WindowsUNIVERSITY OF LOS ANDES, Merida, Venezuela 01/2003 - 07/2003Biomedical Engineering Group.Data Analyst / Programmer / Researcher: Analyzed data coming from medical sources to develop mathematical and computer models and predict results.Tasks Performed:Developed computational tool for large human body image parallel processing through numerical calculus using C++ for the back end.Performed research and development on computational routines and man-machine interfaces using Visual Studio on the front end.Achievements:Implemented telemedicine software that obtains, distributes and manages digital imaging in both 2D and 3D environments.Technologies Used: C/C++, Visual Studio, WindowsNATIONAL FOUNDATION FOR SCIENCE & TECHNOLOGY, Merida, Venezuela 01/2003-07/2003Sub-branch of Biomedical Engineering Group.Software Developer: Performed practical implementation and analysis of model predictors.Tasks Performed:Implemented Remote Communication System to process and manipulate large extension processed image files from MRI/VCC/Rx scanning using VTK/Visual Basic as front end and C++ as back end.Coded compression/decompression algorithms to transform image file formats into plain text and back for parallel processing, and merge results in the name node for visual presentation.Achievements:Developed and tested model for acquisition, scanning, and large-size image processing from MRI, in both analog and digital video formats.Technologies Used: MATLAB, Visual Basic, C/C++, VTK, WindowsTHERMAL & COMPUTING SCIENCE, Merida, Venezuela 02/2002 - 09/2002Mechanical Engineering Department.Data Analyst / Programmer / Researcher: Implemented functional mathematical models to collect data and predict computational model behavior in the oil industry.Tasks Performed:Programmed and tested algorithms to match the numerical Method of Characteristics (MOC) model in FORTRAN; migrated to C/C++ as back-end.Showed graphical representations on the 2-dimensional field grid in Visual Studio.Achievements:Researched and developed 2D & 3D Model Program to understand the influence of fluid behavior in porous media, demonstrating the distribution of oil through a pipe network.Technologies Used: C/C++, FORTRAN, Visual Studio, UNIX, Windows |
