This meet-up brings together experts from IBM Research, Nutanix, Sarvam AI, Sahaj Software, TestZeus, and more, offering insights into cutting-edge innovations in AI efficiency, fine-tuning techniques, data preparation, and real-world applications.
📌 Optimizing LLM tuning & fine-tuning – explore efficient training strategies, LoRA, intrinsic dimensions, and their impact on AI performance.
📌 Building Bharat’s AI ecosystem – speech and text models designed for a billion users in India.
📌 AI on the edge – challenges and break-throughs in deploying AI across multi-platform, on-device applications.
📌 Advances in transformers & multi-agent systems – understand trade-offs, insights, and the future of agentic AI.
📌 AI-powered automation & legal assistance – discover how AI is revolutionizing test automation and legal law matching.
📌 Scaling AI infrastructure – best practices for storage, data pipelines, and multimodal AI scalability.
Ramakrishna Reddy Yekulla (Ramky) is a Senior Principal Product Manager at Red Hat’s data + AI group, leading the technical strategy and operationalization of AI models. He ensures seamless integration of AI into Red Hat’s products while managing compliance, governance, and scalability. A seasoned open-source contributor, Ramky has worked on projects like Fedora, Django, GNOME, and GlusterFS. His expertise spans system design, functional programming, and AI infrastructure.
This meet-up is curated for:
✅ AI/ML researchers & engineers working on multimodal models, agentic AI, or infrastructure challenges
✅ Data scientists & architects interested in storage, real-time processing, and optimization for multimodal AI
✅ Software & platform engineers exploring AI-driven automation, monitoring, and scaling
✅ AI product innovators looking to integrate agentic AI into real-world applications
✅ This meet-up is free to attend! Secure your spot now; your registration helps us plan facilities! 🍕
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