Generative AI & LLMs
Explore large language models, retrieval-augmented generation (RAG), fine-tuning, and multimodal foundation models.
Join a next-generation virtual conference experience designed for AI, machine learning, and future technology.
AI Conf Connect is 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.
Explore large language models, retrieval-augmented generation (RAG), fine-tuning, and multimodal foundation models.
Build and deploy autonomous AI agents with advanced reasoning, planning, and multi-agent tool use.
Frameworks for responsible AI development, bias mitigation, safety guardrails, and model alignment.
Scale, deploy, and monitor machine learning models with production-grade MLOps and cloud DevOps pipelines.
State-of-the-art vision models for healthcare, autonomous systems, and creative spatial AI.
Advanced natural language processing, conversational agents, and human-AI interaction design.
Leading voices defining the boundaries and future trajectory of Artificial Intelligence.
AI Advisor, Educator & Speaker
Independent (USA)
"The Buyer Journey for the AI-Native Era"
Tahnee Perry is a seasoned AI Advisor, Educator, and Speaker. Her work bridges the gap between technical AI capabilities and business execution, with a strong focus on mapping the buyer journey for the AI-native era.
Co-Founder & President
Mach-AI (USA)
"Building AI-Powered Decision Intelligence Platforms: From Concept to Production"
Stevie Rhim is the Co-Founder & President of Mach-AI (USA). He specializes in designing and building production-grade decision intelligence platforms that scale to enterprise operations.
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.
We are looking for passionate AI practitioners, researchers, and thought leaders to share their knowledge at AI Conf Connect 2026. 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.
Have questions or want to register? Fill out the form below and our team will get back to you within 24 hours.