Ali Adabi Head of Generative AI Delivery
Empowering enterprises with cutting-edge AI at Turing AI. PhD in Electrical Engineering from UC Santa Cruz.
About Me
Passion for AI innovation and leadership
I hold a Ph.D. in Electrical Engineering with a focus on AI and Machine Learning from UC Santa Cruz and a B.S. in Electrical Engineering and Computer Science from UC Berkeley.
Turing- Head of Generative AI Delivery
Leading the delivery of generative AI solutions for enterprise clients
AI2X - CAIO
Leading AI integration into business operations of financial and healthcare verticals
Accenture - Senior Manager
Delivered high-impact projects including healthcare robotics and IoT systems, earning the Global Innovation Award.
UC Santa Cruz - Faculty-Researcher
Founded SEADS, mentored 200+ students, and secured NSF funding for AI energy monitoring systems.
Intel Corporation - Design Automation Engineer
AI & Machine Learning
- Deep Learning
- Neural Networks
- Computer Vision
- NLP
Cloud & DevOps
- AWS/Azure/GCP
- Kubernetes
- Docker
- CI/CD
Leadership
- Team Management
- Strategic Planning
- Agile/Scrum
- Innovation
IoT & Systems
- IoT Architecture
- Edge Computing
- Signal Processing
- System Design
Professional Experience
Leadership roles and key achievements
Head of Generative AI Delivery
Turing AI (Menlo Park, CA)
Co-Founder & Chief AI Officer
AI2X
Senior Manager
Accenture (San Francisco, CA)
Faculty-Researcher
UC Santa Cruz
Founder
SEADS AI (Santa Cruz, CA)
Design Automation Engineer & Data Scientist
Intel Corporation & PlayStation
Featured Projects
Innovative solutions and research
SEADS - Smart Energy Monitoring
AI/IoTIntelligent IoT system for energy monitoring using advanced AI algorithms. Founded community of developers and secured NSF funding.
Healthcare Robotics Platform
RoboticsAn autonomous healthcare robotic platform that achieved 25% cost reduction and earned the Accenture Global Innovation Award.
Cloud-based IoT Tracking
Cloud/IoTScalable cloud-based IoT asset tracking system with real-time analytics and predictive maintenance capabilities.
Selected Publications
Research contributions and findings
Economic Real-Time Energy Management For Microgrids Via NILM And With User Decision Support
Comprehensive research on non-intrusive load monitoring and energy management systems for smart grids.
Status and challenges of residential and industrial non-intrusive load monitoring
Comprehensive review of NILM techniques and their applications in residential and industrial settings.
SEADS: A modifiable platform for real-time monitoring of residential appliance energy consumption
Presentation of the SEADS platform architecture and its applications in real-time energy monitoring.
Toward a Social Graph Recommendation Algorithm: Do We Trust Our Friends in Movie Recommendations?
Research on social graph algorithms and trust networks in recommendation systems.
Speaking Engagements
Sharing knowledge and insights
Deep Learning AI applications in IoT and Grid
Optimization Course, UC Santa Cruz
Explored cutting-edge applications of deep learning in IoT systems and smart grid optimization.
IoT Case Studies in Power Systems
Advanced Topics in Controls, UC Santa Cruz
Presented real-world IoT implementations in power system monitoring and control.
SEADS Platform Overview
Cross Symposium, UC Santa Cruz
Demonstrated the SEADS platform capabilities and its impact on energy monitoring research.
Grid Operating System
California Public Utility Commission
Presented innovative approaches to grid operating systems and utility management.
Honors & Awards
Recognition and achievements
Accenture Global Innovation Award
Autonomous Trace Platform
TechCrunch Disrupt Award
Ranked 1st out of 1000 hackers
NSF iCorps Award
Innovation and Entrepreneurship
UCSC Competition Award
Excellence in Research
Let's Connect
Ready to explore AI innovation opportunities? Let's discuss how we can transform your business together.