Adele Kuzmiakova
5.0
(1)
Studied at Stanford University
Works at OpenAI
Available Thursday at 4:30 PM UTC
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Work Experience
OpenAI Forum Member, Global Affairs
OpenAI
May 2025 - Present
- Invited to join the global OpenAI Forum focused on AI strategy and workforce development - Engaging with leaders from public, private, and academic sectors on GenAI adoption, AI governance, and responsible scaling.
AI Advisor
Code Blossom
August 2024 - Present
- Designed and delivered AI adoption programs across Asia and LatAm, increasing AI literacy metrics by 50%+. - Worked cross-functionally with marketing, partner success, and product teams to maximize engagement and program impact. Supported workshops, hackathons, and experiential learning initiatives, strengthening customer and partner confidence in deploying AI solutions.
Machine Learning Engineer
Swissgrid
February 2024 - December 2024
- Directed AI strategy development for energy projects, including Strategisches Netz 2040. - Established an internal AI community and led workshops on AI best practices and KPIs to drive adoption across teams. - Advised on AI architecture and implementation, guiding teams in selecting optimal tools and frameworks for various use cases. - Collaborated with external partners, including Databricks, to enhance AI capabilities and integrations. - Mentored junior team members, fostering AI expertise and technical growth. - Developed a practical example to illustrate the MLOps cycle, enhancing understanding of end-to-end AI model deployment.
Education
Cornell College
Bachelor of Science , Engineering
Activities and societies: - Accel REE Scholar at Stanford University: Completed a 3-month entrepreneurship program at Stanford University, focusing on innovation, startup development, and leadership. - SURF Student at Caltech: Participated in the Summer Undergraduate Research Fellowships (SURF) program, where I had the opportunity to conduct research under the guidance of experienced mentors working at the forefront of their fields.
Stanford University
MS, Electrical Engineering
2017 - 2018
Focus on machine learning and computer vision.
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