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Daniel Ryszka
Advisory Software Engineer - Watson Machine Learning w IBM
Professional Background
Daniel Ryszka is a skilled software engineer and technology specialist with an extensive background in automation and robotics, underscoring his proficiency in advancing technological innovations. Currently, he serves as an Advisory Software Engineer specializing in Watson Machine Learning at IBM, where he contributes significantly to the development and enhancement of machine learning solutions that support artificial intelligence initiatives worldwide. Throughout his tenure at IBM, Daniel has held several crucial roles showcasing his unwavering dedication to innovation and excellence.
Before stepping into his current position, Daniel accumulated valuable experience as a Staff Software Engineer and Advisory Software Engineer focused on Watson OpenScale, where he was instrumental in optimizing AI operations and amplifying business outcomes through smarter analytics. Prior to that role, he worked as a Software Engineer within the IBM Machine Learning team, strengthening his expertise in creating efficient algorithms and solutions that have a meaningful impact on diverse industries.
Daniel's journey into the realm of technology began with an internship at IBM, where he honed his foundational skills in software development and testing, nurturing a strong passion for coding and digital solutions. His early exposure to software engineering through this internship laid the groundwork for his illustrious career in tech. Additionally, he gained hands-on experience working as a Network Engineer at AGH University of Science and Technology, where he applied his knowledge to enhance network systems and contributed to the seamless operation of technology infrastructure.
Education and Achievements
Daniel Ryszka's educational credentials are rooted in his profound studies at the AGH University of Science and Technology, renowned for its dedication to producing top-tier engineering professionals. He earned both his Magister inżynier (Mgr inż.) and Inżynier (Inż.) degrees in Automatyka i Robotyka (Automation and Robotics), achieving remarkable distinctions with an impressive GPA of 5.0 in both programs. This academic excellence not only reflects Daniel’s intellectual prowess but also his commitment to mastering the principles of automation and robotics.
His educational journey equipped him with a deep understanding of complex systems, signaling his readiness to tackle challenges in software development and engineering. The AGH University, being a prominent institution, has been an excellent foundation for Daniel's thriving career, enabling him to forge valuable connections and collaborate with industry leaders.
Achievements
Throughout his professional career at IBM, Daniel has consistently demonstrated remarkable achievements that reinforce his status as an exemplary software engineer. His role in developing cutting-edge technology solutions at Watson Machine Learning allows him to be at the forefront of transforming artificial intelligence into functional business solutions.
His contributions to IBM OpenScale are notable as well, where he has played a pivotal role in ensuring that AI-driven systems operate efficiently and ethically, in turn fostering trust and transparency in machine learning applications. Daniel’s accomplishments in both software engineering and machine learning illustrate his dedication to the AI field, paving the way for future advancements in technology.
tags=[
Advisory Software Engineer
Automation and Robotics
IBM
Machine Learning
AGH University
Software Engineer
Technology Specialist
Artificial Intelligence
OpenScale
Engineering Excellence
Data Analytics
Career Development