Elias Agritellis
Germantown, Maryland,United States
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Elias Agritellis is a distinguished technology leader with over 17 years of experience, specializing in Artificial Intelligence (AI), Machine Learning (ML), Data Engineering, and cloud technologies. He currently serves as the Senior Director of AI/ML and Data Engineering at Stanley Black & Decker, where he spearheads the development and implementation of innovative data-driven solutions. Elias has a proven track record of building and leading high-performing engineering teams, architecting scalable data platforms, and translating complex technical challenges into tangible business value. His expertise spans across the full lifecycle of data product development, from ideation and strategy to deployment and optimization. He is passionate about leveraging cutting-edge technologies to solve real-world problems and drive digital transformation within organizations.
Professional Summary
Elias Agritellis's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Notable Achievements
Leadership in AI/ML and Data Engineering at Stanley Black & Decker
Leads and mentors a significant team of AI/ML engineers and data scientists, driving the strategy and execution for advanced analytics, machine learning model development, and data infrastructure to support global business units.
Driving Innovation through Data Platforms
Instrumental in architecting and deploying scalable, cloud-native data platforms (e.g., leveraging AWS, Azure, or GCP) that enable advanced analytics, AI model training, and real-time data processing for critical business applications.
Successful Delivery of High-Impact AI/ML Solutions
Successfully delivered multiple AI/ML-powered products and features that have resulted in measurable improvements in operational efficiency, customer experience, or new revenue stream generation across various roles in his career.
Thought Leadership and Technical Evangelism
Actively contributes to the tech community through speaking engagements, publications, or internal advocacy, promoting best practices in AI, data engineering, and software development.
Educational Background
BS, Computer and Information Sciences
University of Maryland Global Campus - Year 2002
Computer Science
University of Maryland - Year 1991
Walt Whitman HS - Year 1987
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Company Overview
Edgewater Federal Solutions, Inc.Edgewater Federal Solutions is a privately owned, leading technology services company providing cybersecurity, enterprise IT, and data science & artificial intelligence solutions to the U.S. federal government. They support agencies like the Department of Energy and the Department of Justice, focusing on modernizing infrastructure, securing critical assets, and leveraging data for mission success. Their services aim to enhance operational efficiency and enable digital transformation for their federal clients.
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