Amin Rasekh

About Amin Rasekh

I manage Field Responsible AI operations at Credo AI. Backed by Andrew Ng and the AI Fund, we are a Series A startup that empowers enterprises to operationalize Responsible AI. I have worked with many organizations across the financial, technology, and defense sectors, from Mastercard to Amazon, to ensure their traditional and generative AI systems are performant, compliant, and safe. Formerly, I was a machine learning manager with PwC’s product innovation team, where I built AI-powered technologies for digital risk management and ethical social media moderation.I have authored tens of high-impact scientific papers and hold two patents in the smart networks domain from the U.S. Patent and Trademark Office. I have secured in funding for R&D initiatives, have served as the Chair of the ASCE Task Committee on Cyber-physical Security, and have been the receptionist of the 2013 ASCE Best Paper and the NSF-CMMI Graduate Fellowship Awards.

Experience

1. Responsible Ai Manager

   Credo AI

   Oct 2021 — Present · Washington, DC, US

   I lead AI Governance adoption initiatives that empower enterprises to build and deliver responsible AI solutions- Customer Success: overseeing and enabling predictive and generative AI governance for prominent financial, health, and technology companies- AI Audits: conducting assessments and audits for Automated Employment Decision Tools and Facial Verification boosting stakeholder trust and corporate/regulatory compliance- Research: created the first open-source library for the ethical assessment of language generation models and identity verification systems. Presented the paper at KDD ‘22 in Washington, DC- Compliance: supporting customers with their internal and external compliance needs and readiness with the NYC LL-144, the EU AI Act, DoD Responsible AI Guidelines, and NIST AI RMF.

Education

• Texas A&M University

  PhD, Engineering

Skills

• Arcgis
• Autocad
• Epanet
• Hec-Ras
• Hec-Hms
• Fortran
• Java
• Matlab
• Ansys
• Microsoft Office
• Hydrology
• Stormwater Management
• Gis
• Hydraulics
• Water
• Environmental Awareness
• Water Resources
• Water Supply
• Numerical Analysis
• Data Science
• Python
• Apache Spark
• Mongodb
• Amazon Web Services (Aws)
• Modeling
• Water Resource Management
• Engineering
• Simulations
• Geographic Information Systems (Gis)
• Spark
• Artificial Intelligence
• Machine Learning
• Data Analysis
• Research
• R
• Civil Engineering
• Programming
• Statistics