David Kwame Mensah

Education

• University: Georgia Institute of Technology (Georgia Tech)
• College of Computing Years Attended: 2010–2014 Degree: Bachelor of Science in Computer Science, specializing in Artificial Intelligence and Machine Learning
• Advanced Degree: Master of Science in Machine Learning and Data Science, University of California, Berkeley (2015–2017)

Additional Training and Certifications Advanced Course:

• "Deep Learning Specialization," Coursera (2018)
• Certification: Google Cloud Professional ML Engineer (2019)
• Certification: Azure AI Engineer Associate, Microsoft (2021)

Languages

• English: Fluent
• Spanish: Native
• French: Intermediate

Professional Skills

• Machine Learning: Expertise in deep learning and neural networks.
• Data Processing: Proficient in handling large datasets.
• AI Solutions: Skilled in cloud-based AI on Google Cloud and Azure.
• Programming Languages: Python (Expert) C++ (Intermediate) JavaScript, SQL (Intermediate).

Personal Qualities

• Analytical thinking, leadership, collaborative, and focused on continuous learning.

Publications

• Research Paper: "Generative Models and Their Role in AI" (2022)
• Study: "Deep Learning in Autonomous Vehicles" (2021)
• Publication: "AI for Healthcare Diagnostics" (2020)

Professional Activities

• Speaker: NeurIPS (2022)
• Panelist: CVPR (2021)
• Keynote: AI Summit San Francisco (2020)

Awards and Memberships

• Award: "Best AI Solution for Autonomous Vehicles" (Tesla, 2019)
• Membership: ACM
• Recognition: "Top 30 AI Innovators in North America" (2021)

Interests and Hobbies

• AI advancements.
• Reading scientific literature.
• Active lifestyle, and AI hackathons.