Generative AI & Large Language Models (LLMs)
Explore the frontier of foundation models, Retrieval-Augmented Generation (RAG), parameter-efficient fine-tuning (PEFT), prompt engineering, and multimodal generative architectures.
The world's premier virtual expo bringing together AI visionaries, industry leaders, and innovators across every domain of artificial intelligence.
AI Conf Connect is a global AI expo designed to deliver practical insights, real conversations, and meaningful connections. Dive into an ecosystem where innovation meets execution — everything is crafted to keep you engaged, not just watching.
Deep-dive into cutting-edge AI topics with world-class researchers and practitioners.
Connect with 2,500+ attendees from 80+ countries across diverse industries.
See breakthrough AI research presented by the teams behind the innovations.
Virtual breakout rooms for one-on-one conversations and small group discussions.
Earn certificates of participation and access all session recordings post-event.
Interactive workshops on prompt engineering, model fine-tuning, and AI agents.
From generative models to autonomous agents — explore every frontier of artificial intelligence at the world's most immersive virtual AI expo.
Explore the frontier of foundation models, Retrieval-Augmented Generation (RAG), parameter-efficient fine-tuning (PEFT), prompt engineering, and multimodal generative architectures.
Architect and deploy autonomous reasoning agents, tool-calling pipelines, cognitive planning, self-reflection loops, and collaborative multi-agent execution frameworks.
Build robust production ML pipelines, scalable model serving, GPU cluster orchestration, vector database indexing, and enterprise AI observability.
Explore vision-language models (VLMs), 3D scene reconstruction, real-time object detection, autonomous navigation, and spatial AI for augmented reality.
Accelerate drug discovery, protein folding, computational genomics, clinical decision support, medical imaging analysis, and precision medicine breakthroughs.
Deploy quantitative trading algorithms, real-time fraud prevention systems, automated compliance auditing, predictive risk scoring, and intelligent ERP workflows.
Pioneer physical AI systems, real-time low-latency edge inference, humanoid robot control, sensor fusion, and Sim2Real reinforcement learning.
Implement model alignment protocols, LLM vulnerability red teaming, regulatory compliance frameworks (EU AI Act, NIST), adversarial defense, and bias mitigation.
Build next-generation conversational voice agents, neural speech synthesis, real-time multi-dialect translation, semantic document search, and knowledge graphs.
World-class researchers and industry practitioners sharing actionable insights.

MIT Graduate & Spatial Computing Founder
USA
"Spatial computing as private infrastructure"
Kanika recently graduated from MIT and is building a startup in spatial computing aimed at enabling AI systems to understand, reason about, and navigate the physical world. Prior to this, she worked with the Government of India to advance technology adoption and investments, establishing a $600M government-backed enterprise.

AI & LLM Engineer
Turing
"The Architectural Barbell & The New AI Workforce: Edge SLMs, Infinite Context, and the Jobs of Tomorrow"
Ram is an AI & LLM Engineer and technical team lead specializing in production-scale AI architectures. He currently collaborates with top AI labs to generate high-quality training datasets for next-generation models, engineering pipelines that combine the scale of legacy models with the precision of expert human-in-the-loop validation. His broader work focuses on optimizing AI systems through specialized SLMs and advanced context infrastructure.

Sr. Architect, GenAI Systems
Fannie Mae (USA)
"Building and Governing Agentic AI Systems with RAFT"
Kiran Bobba has over 20 years of IT experience with several Fortune 500's and an entrepreneurial background. Having built and led numerous Data Science and AI/ML capabilities, he is currently architecting Agentic systems with XAI. He previously served as the CTO of DigitalRoof 4.0 and is a Doctoral candidate in AI/ML.

Software Development Engineer
Amazon (USA)
"From Documents to Decisions: Turning Enterprise Knowledge into AI-Powered Actions"
Sai Ashrith Gavini is a Software Developer Engineer at Amazon, passionate about building scalable web solutions and AI-driven experiences. He actively contributes to the developer community by sharing learnings and best practices.

Senior Solutions Architect
NVIDIA (USA)
"Training SLMs that Beat Frontier Models in Performance for Enterprise Deployments"
Vineeth Kalluru is a Senior Solutions Architect at NVIDIA, specializing in training and deploying Small Language Models (SLMs) that outperform frontier models in enterprise-specific performance benchmarks. He brings deep expertise in tokenomics-driven model optimization for production deployments.
Software Development Engineer
Amazon (USA)
"Production AI Architecture: Lessons from Building Real-Time Healthcare Communication Platforms"
Mansi Parkhi is a Software Development Engineer at Amazon, focusing on production AI architecture and high-scale real-time communication infrastructure. She specializes in building resilient systems that translate complex machine learning workflows into seamless enterprise experiences.

AI Data Platform Product Manager
Dell Technologies (USA)
"How Trusted Data Powers Agentic AI"
Kirankumar Bhusanurmath is an AI Data Platform Product Manager at Dell Technologies, leading technical strategy and execution for AI Data Platform (AIDP) and AI Factory initiatives. A recognized big data subject matter expert and Apache Hadoop contributor with 50+ research publications, he holds advanced degrees from UMass Amherst and MIT.

Senior AI/ML Engineer
Microsoft (USA)
"Building Production-Grade Agentic AI: RAG Pipelines, Agent Workflows, and Real-World Lessons"
I am a Senior AI/ML Engineer at Microsoft with research interests spanning generative AI, large language models, natural language processing, machine learning for healthcare, and AI-driven security. My work focuses on developing trustworthy, scalable AI systems that bridge cutting-edge research with real-world applications.
We are looking for passionate AI practitioners, researchers, and thought leaders to share their knowledge at AI Conf Connect 2027. Whether you have a breakthrough research paper, a production success story, or a hands-on workshop — we want to hear from you.
Reach 2,500+ AI professionals and position your brand at the forefront of artificial intelligence innovation.
Representatives from these companies will be attending or speaking at the conference.
* Representatives from these companies will be attending or speaking at the conference.
Join a global community of AI professionals, researchers, and innovators.
Sessions curated by AI researchers from leading global institutions.
Connect with 2,500+ professionals across 80+ countries.
Workshops and demos — not just lectures.
Real-world case studies from production AI deployments.
Earn recognized certificates to boost your career.
Access job boards, mentorship, and exclusive opportunities.
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