Abhinav Reddy Appidi

Founder

San Francisco, California, United States9 yrs 8 mos experience

Highly StableAI Enabled

Key Highlights

Founder of AI Safety platform SuperAlign.
Expert in AI compliance and governance.
Extensive experience in ML systems for high-risk industries.

Stackforce AI infers this person is a leader in AI Safety and Compliance within high-risk industries.

Contact

Skills

Core Skills

Ai GovernanceRisk ManagementEthics Of AiTeachingMachine TranslationNatural Language ProcessingMedical Image ProcessingMachine LearningAnalytics Development

Other Skills

AlgorithmsApplied MathematicsArtificial IntelligenceBusiness-to-Business (B2B)CC++CadenceComputer ScienceComputer VisionCore JavaData StructuresDatabasesDeep LearningDeep Neural Networks (DNN)Eclipse

About

Founder & CEO at SuperAlign | Building the world's most advanced AI Safety platform. Previously, I founded Aztlan, building scalable distributed platforms & ML systems for high-risk industries, worked with government departments and enterprises building and aligning AI models with organizational policies. Background - MS(research) in Medical Imaging and Machine Translation from IIIT Hyderabad. Passionate about ensuring AI compliance and safety, SuperAlign helps organisations to govern and align AI models with policies. Visit us at SuperAlign - https://superalign.ai

Experience

Risk and insurance management association of singapore (rimas)

Chair, AI Alignment Chapter

Sep 2024 – Present · 1 yr 6 mos · Singapore · Remote

AI Alignment Chapter: https://www.rimas.org.sg/ai-alignment
RIMAS, the Risk and Insurance Management Association of Singapore is a non-profit organization founded in 1988 and dedicated to advancing the discipline and practice of risk management. RIMAS members, alongside industry and academic partners, guide research on aligning AI systems with business goals, regulatory standards, and societal needs, ensuring ethical and responsible AI deployment.
Research areas include:
AI alignment with organizational KPIs & compliance requirements,
AI risk management frameworks,
Comprehensive Risk assessments for ML/AI and GenAI models,
Ethical and Responsible AI practices,
AI safety, security, and accountability,
Legal governance and compliance for AI systems (AI Governance),
Trustworthy AI in regulated sectors,
Addressing fairness, bias, and societal impacts of AI in high-risk areas,
Alignment of AI with international regulatory standards,
Accountability and transparency in AI system decision-making,
This chapter focuses on advancing Responsible AI and AI Risk Management to better understand the risks, ethical considerations, and safety measures essential to AI technologies. Through detailed risk assessments, RIMAS members will create practical frameworks to help organizations manage AI risks, ensuring these systems are safe, ethical, and aligned with business goals and societal needs.
The chapter’s work will produce valuable resources—such as frameworks, articles, whitepapers, and guidelines—designed to promote best practices for industries that develop, deploy, and rely on safe AI.