Ehsan Nadernejad
18+ years in AI/ML, AI assurance, high-risk AI systems and responsible AI
About Me
I am an AI/ML technical leader with 18+ years of experience across AI risk, machine learning, computer vision, production AI systems and AI assurance. My main focus is helping organisations understand, evaluate and reduce AI risks in real-world and regulated environments. I support clients with AI risk assessment, trustworthy AI, model validation, bias and fairness, robustness, data quality, lifecycle monitoring, human oversight, AI governance and EU AI Act readiness. My background combines hands-on AI engineering with AI assurance. I have built and deployed AI systems in industry and currently evaluate AI systems for reliability, robustness, data quality, lifecycle risks and responsible deployment.
Specializations
AI Risk, Trustworthy AI, High-Risk AI Systems, Model Validation, and Production AI/ML
My Strengths
My strength is combining deep technical AI/ML engineering experience with practical AI risk and governance expertise. I understand how AI systems are built, deployed, monitored and how they can fail in real-world use. I can help clients assess risks around dataset quality, representativeness, bias, robustness, drift, explainability, human oversight, cybersecurity, model change management and deployment readiness.
What You'll Gain
Clients will gain a clear and practical understanding of their AI risks and the steps needed to reduce them. I help translate complex AI risk topics into practical actions, including what evidence is needed, what controls should be in place, how models should be validated, and how AI systems can be deployed more responsibly and safely.
Topics I Cover
AI risk assessment, trustworthy AI, responsible AI, EU AI Act readiness, high-risk AI systems, model validation, bias and fairness, robustness, explainability, dataset quality, lifecycle monitoring, drift, human oversight, AI cybersecurity, change management, GenAI/LLM risk and production AI risk. I also bring extensive experience in computer vision, edge AI and production ML systems developed across different organisations and industries. My background includes designing and deploying AI solutions for real-world environments, including edge devices, embedded AI systems and large-scale ML platforms, giving me practical insight into both technical implementation and operational AI risks.
What to Expect
Sessions are practical and tailored to each client’s needs. I first work to understand the AI system, how it is being used, and the main concerns or risks involved. From there, I help identify possible issues, gaps and ways to reduce risk. Clients can expect clear advice, honest feedback and practical next steps that are relevant to their situation.
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