Sebastián Arango

Sebastián Arango

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Machine Learning Engineer @ Blue Orange Digital
Colombia

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Jobs verified_user 0% verified
  • Blue Orange Digital
    Machine Learning Engineer
    Blue Orange Digital
    Apr 2021 - Current (5 years 7 months)
    Blue Orange Digital is recognized as a "Top AI Development and Consultant Agency", by Clutch and YahooFinance, for innovations in predictive analytics,
    automation, and optimization with machine learning in NYC. We help
    organizations optimize and automate their businesses, implement data-driven
    analytic techniques, and understand the implications of new technologies such as artificial intelligence, big data, and the Internet of Things.
    As an ML Engineer at Blue Orange, I focus on:
    - Design and implementation of data-driven architectures
    - Training and deploying ML models
    - Data analytics
    - Select and configure the appropiate tools for data science requirements,
    including cloud and on-premises serv
  • Terminal
    Senior Machine Learning Engineer
    Terminal
    Nov 2020 - Apr 2021 (6 months)
    Remote
    ML Engineer working on the definition of data management and analytics
    strategies for Butter (butterpayments.com), including:


    - Redefinition of their data models
    - Business-aware feature mining
    - Creation of dashboards and reports presenting relevant metrics for clients
    - Cooperation with software engineering teams on finding better strategies for
    managing data collection and processing stages
    - Technical definitions for handling ML lifecycle, including infrastructure,
    operations, software tools, training and deployment strategies.
  • Playvox
    Machine Learning Engineer
    Playvox
    Jul 2020 - Nov 2020 (5 months)
    Machine Learning Engineer working on the design and implementation of machine learning and mathematical models to improve and automate the decision-making processes for the company.


    ◦ AI-based product research & development
    ◦ Multi-structured data pre-processing and analysis
    ◦ Design and implementation of large-scale data pipelines
    ◦ Development and deployment of machine learning models for several tasks,
    mostly related to NLP and customer data analysis
    ◦ ML-Ops and infrastructure-aware model and software deployment
    ◦ Software development
  • Experimentality
    Lead Data Scientist
    Experimentality
    Mar 2019 - Jul 2020 (1 year 5 months)
    Design, development and deployment of end-to-end commercial solutions through operational analytics, statistical analysis, computer vision and machine
    learning across several sectors.


    - SQL & NoSQL databases access and integration.
    - On-premise and cloud-based architectural design and implementation of data
    processing pipelines (data engineering).
    - Use of Machine Learning techniques and statistical methods for data
    analysis.
    - Visualization, representation and business contextualization.
    - i+D+i+E research.
    - Data Science team leader and project adviser.
  • Datagran
    Backend Developer
    Datagran
    Jul 2018 - Dec 2018 (6 months)
    Development of end-to-end AI-based applications for digital marketing
    optimization and segmentation.


    - REST-ful API design and third-party integrations (GoogleAds, Instagram, Facebook).
    - Development of web services using Flask/Django (Python) frameworks.
    - SQL/NoSQL databases access and integration using ORMs and model
    administrators.
    - Cloud computing tasks such as data warehousing, distributed computing
    cluster deployment and data flow systems design using Google Cloud
    Platform.
    - Design and implementation of Big Data processing pipelines.
  • Experimentality
    Software Developer
    Experimentality
    Nov 2016 - Aug 2018 (1 year 10 months)
    Python developer & Machine Learning engineer working on commercial
    applications across multiple sectors.


    - Internet of Things and H/S integrations using commercial microcontrollers/
    processors.
    - Machine learning and pattern recognition solutions across multiple sectors
    such as financial, health, security.
    - Software development focused on both desktop and web applications.
    - Stand-alone and cloud-powered computer vision applications for image
    recognition and classification systems.
    - Cloud architectures design, planning and deployment using Amazon Web
    Services.
    - Pre-sales and commercial tasks for the company. Usually sales, customer
    advisory, corporate leadership, amo
Education verified_user 0% verified
  • Universidad ded Antioquia
    Ingeniería comunicaciones
    Universidad ded Antioquia
  • Instituto Tecnológico Metropolitano ITM
    Graduate Diploma Music Informatics
    Instituto Tecnológico Metropolitano ITM
  • EAFIT
    Master's degree Computer Software Engineering
    EAFIT
Awards verified_user 0% verified
  • [
    [Speaker] Python, the efficient way
  • [
    [Speaker] Enhancing Data Privacy
  • [
    [Speaker] Fundamentals of Bayesian