Overview
Ready to roll up your sleeves? In this session, we dive into RHEL AI, Red Hat’s open-source powerhouse for developing and enhancing Large Language Models (LLMs). Learn how to leverage tools like Granite models and InstructLab to generate synthetic data, fine-tune LLMs for your specific needs, and tap into a global community for cost-effective innovation. Whether you’re crafting a chatbot or boosting analytics, this webinar offers hands-on insights to simplify model alignment and maximize performance—all without proprietary price tags.
Any questions? Please contact Elisa Navarro
Sandip Sharma
AI Sales Specialist, APAC, Red Hat
Sandip is a seasoned technology leader with 25+ years of experience delivering innovative business solutions across Financial Services, Public Sector, Telco, Manufacturing, and Healthcare. He specializes in Enterprise Analytics, Performance Management, AI/ML, and Generative AI, with a strong track record in driving digital transformation across Asia Pacific and global markets.
Known for partnering closely with customers and ecosystems, Sandip helps accelerate AI/ML adoption to unlock innovation and fuel business growth.
Kanjinghat Nijesh
AI Engineering Lead, IBM
Kanjinghat Nijesh is an AI Engineering Lead at IBM, spearheading Generative AI and Machine Learning initiatives across the Asia-Pacific region. With over 16 years of experience in AI, MLOps, and Responsible AI, he specializes in deploying, augmenting, and scaling Large Language Models (LLMs) using open-source and cloud-native platforms, including Red Hat OpenShift AI and IBM watsonx. Nijesh has led transformative AI projects across finance, public sector, and telecommunications, with a strong focus on model customization, governance, and regulatory compliance. A recognized speaker at ODSC and THINK, and a professional member of SCS, AAAI, and IEEE, he bridges deep technical expertise with enterprise-scale impact and community leadership.
