Kemalcan Jimmerson

Partner Solutions Architect at Databricks
Kemalcan currently serves as a Partner Solutions Architect at Databricks, where he collaborates with top-tier consulting companies to tackle their most complex data and AI challenges using the Databricks Data Intelligence platform. In this role, he leverages his deep technical expertise to design and implement scalable data solutions, enabling enterprise clients to harness the full potential of unified analytics and machine learning capabilities.

Previously, Kemalcan served as a Senior Machine Learning Engineer at Slalom Consulting from January 2022, where he led enterprise-scale AI initiatives for Fortune 50/100 companies. His expertise spans across MLOps, computer vision, and large language models, with a proven track record of implementing transformative AI solutions in retail, healthcare, and electronics sectors.

Prior to joining Slalom, Kemalcan worked at Apple, Inc. as a Data Analyst, where he developed sophisticated geospatial analytics solutions and architected complex data validation frameworks utilizing advanced SQL queries and Python.

Kemalcan brings a unique combination of technical expertise and business acumen, holding a Master of Information and Data Science from the University of California, Berkeley, an MBA from the New York Institute of Technology, and a Bachelor of Business Administration from Istanbul University. His technical proficiency is further validated by multiple industry certifications, including AWS Machine Learning Specialty, Databricks Machine Learning Professional, and Microsoft Azure AI Fundamentals.

Throughout his career, Kemalcan has led Slalom's AI/ML Community of Practice, orchestrating knowledge-sharing initiatives and fostering collaborative learning environments across organizations. He also served as a Development Coach in Slalom's mentorship program, demonstrating his commitment to developing the next generation of technical leaders.

Kemalcan has successfully led cross-functional engineering teams in delivering sophisticated AI solutions, including Generative AI applications achieving 92% accuracy. His expertise spans major cloud platforms including AWS, GCP, and Azure, consistently delivering enterprise-scale ML solutions that bridge technical innovation with business objectives.