Sravya has 15 years of experience spanning across HPC, open source leadership, deep learning infrastructure, foundation model training and performance optimizations. She lead teams and many 0-1 initiatives at Adobe and Cloudera before. She is driven by intelligence-powered self-evolving software systems for scientific discovery and the transformative evolution of software engineering.

Ishan is an applied AI engineer and researcher with a deep obsession for rigor and detail, shaped by a mathematics education at the University of Cambridge. As a quant researcher at Optiver, he built robust research pipelines in environments where performance, reliability, and reproducibility were non negotiable. Having co-founded an AI education company, he is deeply driven by a mission to make intelligence cheap, reliable, and accessible at global scale.

Luke is a technical founder with 12+ years building production systems, including multiple 0-1 AI/ML initiatives. At Ardent AI, he built Agentic AI systems for data engineering. Previously, he founded Reasonote and directed engineering at Revaly, leading a team of 6 building real-time collaborative 3D systems. He has contributed to open-source projects including Supabase and Trimesh.

Annika is a computer scientist and entrepreneur with experience spanning robotics research, high impact industry roles, and startup founding. She earned her BS in Computer Science and Entrepreneurship from the University of Washington, where she worked with the Control and Trustworthy Robotics Lab and interned at Amazon and Goldman Sachs. She is currently pursuing a Masters in Computer Science at Stanford University.

Elliot works on GPU performance and inference optimization at Infinity. He created kernelbench.com, a GPU-kernel benchmark for frontier AI models, wrote a book on CUDA for Manning, and has taught GPU programming and LLM engineering to over two million learners through freeCodeCamp and his YouTube channel.

Aditya is an AI infrastructure engineer with 10+ years of experience building high-performance systems. At Meta, he built low-latency transport stacks for custom AI training and inference chips, following his work at Lightmatter architecting systems for Envise, the world's first photonic AI accelerator and Passage. An alumnus of the University of Michigan and NIT Raipur, his mission is to turn high-performance inference into the baseline standard for modern AI.