Unlocking Sovereign AI: Using Red Hat AI
An open and hybrid architecture can help organizations maintain greater flexibility across environments while supporting evolving requirements around data, security, governance and technology choice. Red Hat has recently positioned the AI Factory around a consistent hybrid foundation and greater architectural control for enterprises scaling AI workloads.
Ecosystem AI Sales Specialist at Red Hat with 24 years of software development and sales experience, including 10+ years specialising in AI and ML solutions.
I empower partners at Red Hat to co-create AI solutions and execute joint go-to-market (GTM) strategies.
My passion is democratising AI/ML and driving data-driven business decisions with solutions that are business-focused, not just technology-centric.
Key AI Experience:
AWS: I served as an AI specialist technical business developer, helping public sector organisations (Education, Government, Healthcare, Non-profits) across India to co-create cloud solutions leveraging Generative AI and LLMs for improved outcomes.
IBM Watson: I previously worked as a Tech Sales Architect, helping large enterprises adopt AI into their workflows using IBM Watson technologies.
Technical & Education: I hold multiple AI/ML certifications, including AWS Architect and Machine Learning Specialist, and patents. My technical background includes expertise in Amazon Bedrock, SageMaker, IBM Watson and OpenShift AI. I have a Master's degree in Computer Sciences and an Engineer's Degree in Mechanical Engineering.
