Amir Behbehani
Summary
CLICK HERE FOR FULL CURRICULUM VITAE SUMMARY Experienced AI/ML leader leveraging machine learning algorithms to develop innovative products that enhance revenue, efficiency, and intellectual property assets. Proven track record founding and scaling AI startups to successful acquisitions. Deep technical expertise combined with strategic business acumen.
Overview
26
26
years of professional experience
Work History
Chief AI Engineer
01.2023 - Current
- Created autonomous agent framework for chat systems enabling sophisticated data operations
AI Engineer
- Implemented multi-agent system architecture and vector search engines
- Developed dynamic Next.js UIs integrated with cloud services, 3
- Pioneered load testing, inventory optimization, and speech recognition algorithms
Founder
Serial Metrics
01.2010 - 01.2023
- Contributed core AI intellectual property to 15 startups, supporting their growth and successful exits
- Assembled and led teams of 200 engineers
- Select portfolio companies:
- Leaf Logistics: Pioneered derivatives model doubling market liquidity; secured $37M Series B
- Orion: Launched automated ETL; achieved 1000x return on seed investment
- Medibio: Developed AI diagnostics using wearables; boosted Alzheimer's accuracy 73%
- Zuli (acq
- By Google): Invented smart home presence detection system
- Jobr (acq
- By Monster): Optimized job-candidate matching algorithm to (acq
- By Adecco): Designed NLP-based job recommendation engine
- Eventbrite: Created dynamic pricing algorithm optimizing ticket revenue
Economist / Data Scientist
01.2005 - 01.2016
- Advised DoD on ML for national security threats and nuclear detection
- Designed pricing and forecasting models for Wells Fargo, AAA, Harvard
- Business School
- Constructed prime rate forecasts guiding Wells Fargo strategy
- Developed marketing attribution and lead scoring models at Oracle
Systems/Research Engineer
Early
01.1998 - 01.2005
- Roles at Yodlee, Informatica, Knight Ridder
- Catapult, S1 Corp
Education
Ph.D - Applied Mathematics
MIT - Mathematics
Stanford University
Skills
- AI/ML Supervised/Unsupervised Learning, Neural Networks, NLP, Predictive
- Analytics
- Programming: Python, C/C, Java, JavaScript, SQL
- Frameworks: TensorFlow, PyTorch, Scikit-learn, Langchain, LlamaIndex
- Pinecone, Qdrant
- Cloud/Big Data: AWS, GCP, Azure, Hadoop, Spark
- Data Visualization: Tableau, PowerBI, D3js
- Development Tools: Git, Docker, Kubernetes, Jupyter
Timeline
Chief AI Engineer
01.2023 - Current
Founder
Serial Metrics
01.2010 - 01.2023
Economist / Data Scientist
01.2005 - 01.2016
Systems/Research Engineer
Early
01.1998 - 01.2005
AI Engineer
Ph.D - Applied Mathematics
MIT - Mathematics
Stanford University