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June 9-10, 2026
Bengaluru, India
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IMPORTANT NOTE: Timing of sessions and room locations are subject to change.


Tuesday June 9, 2026 11:45am - 12:10pm IST
Small Language Models are great for edge and cost-sensitive deployments, but struggle with limited context windows. This talk shows how MCP servers can act as an external memory and context orchestration layer for SLMs. Based on a survey of 25+ long-context reasoning techniques, we demo concrete implementations: episodic memory with surprise-based retrieval (EM-LLM-inspired), and a dynamic context orchestrator that picks between RAG, summarization, and sliding-window strategies based on query type and model capacity. This is a builder's guide to making small models punch above their weight via smart MCP-based context engineering.
Speakers
avatar for Nethra Khandige

Nethra Khandige

AI Engineer, IBM
Nethra Khandige is an AI Engineer at IBM, working on the PyTorch ecosystem, AI inference optimization, and context-aware AI systems. Backed by a strong research foundation, including published work in malware detection, neural network inference, deep reinforcement learning with published... Read More →
avatar for Stuti Sinha

Stuti Sinha

Software Engineer, IBM
Stuti Sinha is a researcher and developer focused on the intersection of model efficiency and AI safety. With a background in Python, Java, and C++, she specializes in the PyTorch ecosystem, specifically optimizing Long Context Reasoning and architecture for Small Language Models... Read More →
avatar for Reeva Nanda

Reeva Nanda

Software Engineer, IBM India
Reeva Nanda is an AI and ML enthusiast with strong theoretical foundations in generative AI, deep learning, and neural network architectures. Deeply passionate about the mathematics underpinning modern AI , particularly linear algebra and its role in model design, she holds a focused... Read More →
avatar for Pradipta Ghosh

Pradipta Ghosh

AI Software Architect, IBM
avatar for Vivek Mankar

Vivek Mankar

Staff AI Engineer, IBM LABS ( ISDL )
Vivek Mankar is an AI Software Engineer specializing in high-performance AI inference systems and scalable cloud software. Operating at the intersection of deep learning and systems engineering, his work focuses on the PyTorch ecosystem, LLM serving, and MLOps automation. Backed by... Read More →
avatar for Anto Ajay Raj John

Anto Ajay Raj John

AI Engineering Manager, IBM
Anto John is a senior manager for AI with industry experience of 20 years. He has been working on AI projects for the past 10 years in various capacity. He was one of the core team members of the IBM BlueGene/Q supercomputer. He was the performance architect for IBM Power Systems... Read More →
Tuesday June 9, 2026 11:45am - 12:10pm IST
Scarlet 2&3
  Building with MCP

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