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Joseph Miano
Joseph is a data scientist with 3+ years of experience in computer vision, NLP, and tabular datasets. He's worked on analytics for large-scale medication adherence outreach programs, multi-task neural networks for brain microscopy image segmentation, and NLP models to detect COVID-19 outbreaks from news articles. He's also familiar with model explainability for credit risk assessment and fraud detection models. Joseph holds an MS in Computer Science with a specialization in machine learning.
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Michael Sterle-Contala
Michael has been delivering software solutions for over 15 years, specializing in distributed systems and data applications. After starting his career as a self-employed, he has spent ten years in the industry and has returned to freelance work to bring his experience to a broader range of clients and projects. Michael is most interested in roles as an architect, developer, and adviser for distributed systems development, data and ML implementations, and cloud configuration and management.
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Denis Volk
Denis is a senior full-stack AI engineer and data scientist, highly skilled in modern generative tech (GPT-4, Midjourney, and more), machine learning, ETL pipelines, data analysis, mathematical modeling, big data, and MLOps. He has a PhD in mathematics, and his data science expertise includes probabilistic risk modeling, revenue forecasting, geospatial data analysis, handwriting recognition, anomaly detection in time series, data engineering, and team leading.
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Ibrahim Mahmoud Ahmed, Ph.D.
Ibrahim is a veteran data scientist and software developer with a passion for deep learning and extensive experience in statistics and time series. Ibrahim is interested in helping businesses take full advantage of their data and take data-driven actions. His principle is to observe, model, and corroborate, disrupting the status quo with artificial intelligence.
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Yuki Matoba
Yuki is a full-stack MLOps and DevOps engineer with over five years of experience working for various companies, from startups to large companies. Yuki's background as a machine learning engineer and a software developer helps him understand and solve real-world machine learning and software development problems.
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Amanbir Singh
Amanbir has 10 years of experience in data science, analytics, and back-end engineering. He has worked at a large multilateral organization and with early-stage tech startups. Amanbir excels at working with clients in tackling complex business problems and has deep expertise in machine learning, data analysis, and building scalable web apps.
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Subramani Sundaram
Subramani is a certified DevSecOps Architect, SRE, and cloud architect with 10+ years of experience architecting, automating, and optimizing mission-critical applications and deployments over large-scale infrastructures. His employers include Farah Experiences, P&G, Emirates Group, and DTCC. Subramani's expertise includes infrastructure and configuration management tools, CI/CD pipelines, cloud deployment, and managing projects, Scrum teams, technology environments, people, vendors, and assets.
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Santiago Miguel Vélez Castañeda
Santiago is a data scientist with over five years of experience in the IT industry. He focuses on deep learning sequential models, machine learning, Python data science stack, and cloud ML and AI. Santiago enjoys solving complex problems and hard questions using data science, which allows him to model different events and translate the results into real-world solutions.
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Vishnu KS
Vishnu is an open-source contributor and researcher with substantial experience in public cloud and DevOps. He helps companies in their digital transformation journey by moving workloads to the cloud, adopting DevOps culture by implementing the right DevOps tools, and educating developers through workshops. Vishnu developed the world's first and only open-source tool for cloud migration.
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Muaz Maqbool
Muaz has over five years of product development experience, having co-founded two AI startups that raised over $200,000. As the former CTO of a service-based company, he executed over 50 projects. Muaz has contributed to the industry's academic discourse with 11 published papers as an industrial research supervisor. He applies his in-depth knowledge and expertise as a remote consultant, establishing over 20 strategic engagements with US-based enterprises.
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