Jorge Steban Moreno Lozano

Jorge Steban Moreno Lozano

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Bogota D.C., Colombia
Contact Jorge regarding: 
Flexible work
Starting at USD30/hour
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Résumé

Jobs verified_user 0% verified
  • O
    Latam Coder
    OutlierAI
    May 2025 - Current (1 year 3 months)
    As a Latam Coder, I was responsible for developing and answering computer science questions to train AI models, ensuring that the content was accurate and relevant. My role also involved evaluating and classifying AI-generated code to guarantee its technical accuracy and quality. Additionally, I utilized Microsoft Excel to manage the review of contributors’ tasks, which enhanced the feedback process and allowed for effective tracking of task availability, ensuring that project timelines were met efficiently.
  • P
    Service Engineer
    PymexSAS
    Mar 2024 - May 2025 (1 year 3 months)
    Developed industrial IoT applications to transmit sensor data via Bluetooth to the cloud, with integration into data analysis software. Programmed user-friendly HMI interfaces for condition monitoring systems. Provided technical support for the integration of wireless sensors into clients' existing infrastructures. Participated in control, instrumentation, system design, and on-site installation projects. Additionally, utilized Microsoft Excel to manage project inventories, create comparison tables, build risk matrices, generate detailed reports for each client, and track project activities, enhancing overall project management and reporting efficiency.
Education verified_user 0% verified
  • Universidad Nacional de Colombia
    Postgraduate Diploma Machine Learning and Data Science Advance
    Universidad Nacional de Colombia
    Feb 2024 - Jun 2024 (5 months)
    curses: Natural Language Processing and Understanding, Deep Learning and Agile Methodologies for Application Development with Machine Learning
  • Universidad Militar Nueva Graca
    Bachelor of Mechatronics Engineer
    Universidad Militar Nueva Graca
    Feb 2017 - Nov 2023 (6 years 10 months)
    It stands out for its ability to use and integrate technologies through various hardware and software tools, applied to solving problems in industrial automation, process control, robotics, mechatronic design, virtual reality, materials, and manufacturing, implementing CAD, CAE, and CAM tools, among others.
Projects (professional or personal) verified_user 0% verified
  • Universidad Nacional de Colombia
    S&P 500 Index prediction with Machine Learning
    Universidad Nacional de Colombia
    Feb 2024 - Oct 2024 (9 months)
    Developed a predictive model based on historical time series to forecast the daily behavior of the S&P 500 index (up, down, or stable). The project aimed to support investors and analysts in decision-making by reducing market uncertainty and improving results through data driven insights. Github:https://github.com/julianbarreto10/Proyecto_MLDS6/blob/main /README.md
  • Universidad Militar Nueva Granda
    Smart Irrigation and Monitoring System for Home
    Universidad Militar Nueva Granda
    Aug 2022 - Dec 2022 (5 months)
    Developed an automated irrigation and monitoring system for home gardens using IoT- connected sensors. Integrated a mobile app for real- time control and visualization of variables such as soil moisture and system status.
  • Universidad Militar Nueva Granada
    Voice Classification Using AI and Ambulatory Vocal parametres
    Universidad Militar Nueva Granada
    Jul 2022 - Nov 2023 (1 year 5 months)
    Developed AI algorithms using machine learning in Python to classify patients with healthy voices or non-phonotraumatic hyperfunctional dysphonia (NPVH), based on ambulatory vocal function parameters. Conducted as a graduation thesis, earning a distinguished grade of 4.7 / 5.0. Additionally, utilized Microsoft Excel for collecting and analyzing statistical data, which played a crucial role in refining the input for the machine learning algorithm. This process involved reducing the dataset from 13 to 6 variables by eliminating irrelevant data for classification. A comprehensive table was created to compare the statistical moments of all variables, ensuring that only those meeting the criteria defined by a medical professional specialized in