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Sleeba Paul
Machine Learning Engineer III & Innovate Early Career Program Candidate @ Ericsson - Applied ML in Telecom - TEDx Speaker - Learner - Maker -
Professional Background
Sleeba Paul is an accomplished Machine Learning Engineer currently serving as a Machine Learning Engineer III and innovative Early Career Program candidate at Ericsson's Global AI Accelerator. His professional journey reflects a deep commitment to advancing artificial intelligence solutions and contributing to groundbreaking research within the field. Sleeba has developed a notable reputation as an AI innovator and speaker, having graced the stages of highly respected platforms such as TEDxMITS and PyData, where he shared insights on evolving trends in technology and data science.
In addition to his engineering prowess, Sleeba is recognized for his artistic contributions through AuriaKathi, an AI Poet Artist initiative, which received sponsorship from Microsoft. The artistic venture has been featured in prestigious exhibitions, including the Florence Biennale and NeurIPS 2019 online gallery. His blend of technology and creativity exemplifies the exciting intersections of AI and the arts.
Sleeba's technical credentials are further highlighted by his contributions to academic literature. He has published several papers, including his first disclosure in Radio Access Network and contributions to COMSNETS'22, a prominent conference in Bangalore, showcasing his expertise in microgrid disturbances in hybrid distributed generation systems. His work has positioned him as a sought-after thought leader in machine learning and data science.
Education and Achievements
Sleeba holds a Master of Technology (M.Tech) in Power Systems from the University of Calicut, complemented by a Bachelor of Technology (B.Tech) in Electrical and Electronics Engineering from Cochin University of Science and Technology. Throughout his academic career, Sleeba has demonstrated an enduring passion for learning, having completed more than 20 MOOCs (Massive Open Online Courses) across topics in Artificial Intelligence, Electrical Engineering, and Computer Science. This commitment to continuous education ensures that he remains at the forefront of technological advancements in his field.
Beyond his formal education, Sleeba has also made significant contributions to the open-source community, serving as an Arctic Code Vault Contributor on GitHub. His dedication to making technology accessible reflects his belief in collaborative learning and innovation. This ethos is further mirrored in his long-standing literature blog, which he has maintained since 2011 and engages readers from over 20 countries, showcasing his diverse interests and insights into both literature and technology.
Achievements
Some of Sleeba's notable achievements include his selection to speak at the prestigious COMSNETS'22 conference in Bangalore, his series of publications in international conferences, and his engagement with various tech communities as a speaker. His efforts to explore Artificial General Intelligence and product development have established him not only as a seasoned professional but also as an innovator eager to tackle the challenges posed by emerging technologies.
Sleeba’s technical blog and personal site, available at https://sleebapaul.github.io/, serves as a platform for sharing his insights and experiences, ranging from machine learning projects to personal reflections on technological developments. His combined expertise in machine learning, data science, and electrical systems uniquely positions him as a resource for aspiring engineers and data scientists.
As someone who operates at the intersection of technology and creativity, he is undoubtedly an influential figure for those interested in the forefront of AI. With a broad array of interests and accomplishments, Sleeba Paul continues to inspire and innovate, making significant strides within the AI and Machine Learning community.