- 7th Annual
- November 17-18, 2026
- Austin, TX
AI-Assisted Software Engineering
About the track
We’ll cover:
- Coding agents on complex codebases, legacy systems, and rebuilds
- The code review bottleneck when agents write faster than teams can review, and the review gates and decision trails that hold
- Secure AI-assisted development. How top-performing teams treat credentials, dependencies, permissions, and what agent-written code must pass before it merges.
- AI-assisted MLOps, meaning infrastructure, architecture, and ops work, not just application code
- You’ll leave knowing where your own practice sits against the top percentile, and the specific things to change to close the gap so you can embrace this new era of development.
Track host
Rajiv Shah
AI Engineer, OpenHands
See Track Lead Profile
Rajiv Shah is the Agentic AI Engineer at OpenHands with a passion and expertise in Practical AI. He focuses on enabling enterprise teams to succeed with AI. Rajiv has worked on GTM teams at leading AI companies, including Hugging Face in open-source AI, Contextual AI in context engineering, Snorkel in data-centric AI, Snowflake in cloud computing, and DataRobot in AutoML. He started his career in data science at State Farm and Caterpillar.
Rajiv is a widely recognized speaker on AI, published over 20 research papers, been cited over 1000 times, and received over 20 patents. His recent work in AI covers topics such as sports analytics, deep learning, and interpretability.
Rajiv holds a PhD in Communications and a Juris Doctor from the University of Illinois at Urbana Champaign. While earning his degrees, he received a fellowship in Digital Government from the John F. Kennedy School of Government at Harvard University. He is well known on social media with his short videos, @rajistics, with over 100k followers.
MLOps World | GenAI Summit 2026 is a two days of case studies, workshops, and expo on taking AI/ML and agentic systems into production – at the Etter-Harbin Alumni photo – full-bleed hero or browse files.