Sebastian Arango Machine Learning & Software Engineering | HealthTech |

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Lead Machine Learning Engineer

Attention

Jun 2022 - Dec 2025 (3 years 7 months)

ML Engineer leading the data-related efforts of the company within the scope of its core product. Some of my main responsibilities are: - Model testing, selection and benchmarking - ML model training, deployment and monitoring - Building software services/modules that integrate with the core product - Structured and unstructured data cleaning and curation - Design and implementation of reliable and scalable systems for near-real-time inference - Natural Language Processing (NLP) tasks: audio transcription, text mining, text similarity, summarization, unstructured data parsing

Senior Machine Learning Engineer

Blue Orange Digital

Apr 2021 - Jun 2022 (1 year 3 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 - Selecting and configuring the appropriate tools for data science requirements, including cloud and on-premises services - Designing and launching large-sc

Senior Machine Learning Engineer

Terminal

Nov 2020 - Apr 2021 (6 months)

City: Remote Country: United States ML Engineer working on the definition of data management and analytics strategies for Butter (butterpayments.com), including: ◦ Design and implementation of pipelines for data analytics ◦ Redefinition and improvement of their current 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/Analytics lifecycle, including infrastructure, operations, software tools, training and deployment strategies.

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. ◦ 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 related to NLP and customer data analysis. ◦ ML-Ops and infrastructure-aware model and software deployment, collaborating closely with QA and security teams to ensure robust applications in the cloud, particularly concerning data security.

University Research Assistant

EAFIT, Universidad Eafit

Feb 2020 - Jan 2023 (3 years)

As a University Research Assistant in Medellín, Colombia, I engaged in applied research focusing on optimization, scientific computing, and machine learning techniques. My responsibilities included: ◦ Conducting pre-processing and manipulation of medical imaging data to enhance analysis accuracy. ◦ Developing machine learning algorithms and mathematical models for automatic decision-making in clinical environments. ◦ Designing and implementing software solutions for the deployment of mathematical models, ensuring effective application in real-world scenarios. ◦ Applying optimization techniques to spatial analysis, improving the efficiency of data interpretation. ◦ Leveraging blockchain technologies to secure the communica

Lead Data Scientist

Experimentality

Mar 2019 - Jul 2020 (1 year 5 months)

City: Medellín Country: Colombia Design, development and deployment of end-to-end commercial solutions through operational analytics, statistical analysis, computer vision and machine learning across several sectors. ◦ Use of Machine Learning techniques and statistical methods for data analysis. ◦ Software development for both desktop and web services. ◦ On-premise and cloud-based architectural design and implementation of data processing pipelines (data engineering). ◦ Data storage, management and integration. ◦ Visualization, representation and business contextualization. ◦ i+D+i+E research. ◦ Data Science team leader and project adviser. ◦ Collaborated closely with quality assurance (QA) and cybersecurity teams to ens

Backend Developer

Datagran

Jul 2018 - Nov 2018 (5 months)

Backend & Data Developer for AI-based marketing optimization and segmentation applications. ◦ RESTful API design and third-party integrations (GoogleAds, Instagram, Facebook). ◦ Development of web services with Python. ◦ SQL/NoSQL databases management and integration using ORMs and model administrators. ◦ Cloud computing tasks such as data warehousing, distributed computing clusters, and data flow systems design using Google Cloud Platform. ◦ Design and implementation of Big Data processing pipelines, collaborating closely with QA and security teams to ensure robust application deployment in the cloud, particularly focusing on data security throughout the software development lifecycle.

Software Developer

Experimentality

Nov 2016 - Jul 2018 (1 year 9 months)

City: Medellín Country: Colombia Python developer & Machine Learning practitioner working on commercial applications across multiple sectors. ◦ Internet of Things and H/S integrations using commercial microcontrollers/processors. ◦ 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. ◦ Machine learning and pattern recognition solutions across multiple sectors such as financial, healthcare, security. ◦ Pre-sales and commercial tasks for the company. Usually sales, customer advisory, corporate leadership, among others.

University Research Assistant

University of Antioquia

Jan 2016 - Feb 2017 (1 year 2 months)

City: Medellín Country: Colombia Researcher student in the fields of signal processing, pattern recognition and machine learning applied to medical research. ◦ Quantitative mapping of neurological diseases such as Parkinson' disease. ◦ Application of statistical and optimization methods for Machine Learning and Pattern Recognition processes on healthcare and monitoring. ◦ Data pre-processing and feature engineering. ◦ Software implementation of Machine Learning and data processing algorithms using the scientific platform MATLAB and add-ons.

Sebastian Arango

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