CV / English / Director of AI Engineering
Olivia Sterling
- Email: [email protected]
- Phone: +1 234 567 8900
- LinkedIn: linkedin.com/in/oliviasterling
- Address: 1234 Innovation Drive, Tech Valley, CA 94088
Dynamic and visionary Director of AI Engineering with over 12 years of hands-on experience in spearheading AI initiatives, crafting cutting-edge artificial intelligence technologies, and leading high-performing engineering teams. Proven track record in driving the development of scalable AI solutions that enhance operational efficiency, foster innovation, and generate significant revenue growth. Looking to leverage profound expertise in AI and machine learning to tackle challenging problems and create impactful solutions.
Core Competencies
- Leadership & Team Building
- AI & Machine Learning Strategy
- Research & Development
- Project Management
- Data Architecture & Modeling
- Collaborative Problem Solving
- Budgeting & Cost Control
- Stakeholder Engagement
- Innovation & Continuous Improvement
Technologies & Certifications
- Languages: Python, Java, Scala, SQL
- Frameworks & Libraries: TensorFlow, PyTorch, Keras, Spark
- Tools: Docker, Kubernetes, Jenkins, Git
- Platforms: AWS, Azure, Google Cloud
- Certifications: Certified ScrumMaster, AWS Certified Machine Learning Specialty, TensorFlow Developer Certificate
Professional Experience
Director of AI Engineering Tech Innovations Inc., Tech Valley, CA January 2018 - Present - Led a team of 30 AI engineers and data scientists in developing AI and ML models that increased operational efficiency by 40%. - Spearheaded the adoption of AI technologies across various departments, resulting in a 30% increase in productivity and significant cost savings. - Established strategic partnerships with leading tech firms, enhancing the company’s capabilities in AI-driven tools and applications.
Senior AI Engineer NextGen Solutions, San Francisco, CA June 2011 - December 2017 - Designed and implemented advanced machine learning algorithms that improved data processing speeds by 50%. - Contributed to the development of a predictive analytics tool that boosted customer retention rates by 25%. - Mentored junior engineers and data scientists, fostering a culture of innovation and continuous learning.
Education & Training
Ph.D. in Computer Science, Specialization in Artificial Intelligence Stanford University, Stanford, CA September 2005 - June 2010
B.S. in Computer Engineering Massachusetts Institute of Technology (MIT), Cambridge, MA September 2001 - June 2005
Referees
Dr. Mia Tan Vice President of AI Research Tech Innovations Inc. Email: [email protected]
Dr. Aiden Clarke Senior Lecturer in Computer Science Stanford University Email: [email protected]