Dr. Rajat Dandekar helps you turn AI theory into working systems
I’m Dr. Rajat Dandekar, co-founder of Vizuara. I teach engineers to connect AI fundamentals with working code and careful evaluation.
Career highlights
• PhD in Mechanical Engineering, Purdue University; BTech and MTech, IIT Madras.
• Co-author of Manning’s Build a DeepSeek Model (From Scratch).
• Research on complex physical systems, including particles and organisms in stratified flows at Purdue.
• Taught both phases of Vizuara’s RL in Production, from RL foundations to LLM post-training projects.
Vizuara brings first-principles explanations, live coding and research-led teaching to a global audience. Its learner-review collection reports a 4.96/5 average across rated reviews. Explore our teaching on the Vizuara YouTube channel.
Courses
Multi-day, guided programs to get real results
AI Forward Deployed Engineering: From Customer Brief to Deployment
Lead an AI delivery engagement from discovery to deployment, customer acceptance and operational handover.
Kernel Engineering: From CUDA Foundations to Frontier AI Kernels
Write, profile and optimize GPU kernels, then apply modern kernel techniques in a graded engineering capstone.
RL in Production: From Foundations to LLM Post-Training
Implement RL and LLM post-training, then use held-out evaluations to make defensible production decisions.
Enterprise AI Agents: Build, Evaluate and Deploy Business Workflows
Build an enterprise agent workflow with integrated tools, evaluation evidence and operational controls.
Resources
Build an AI News Agent with Claude Code
A public Vizuara coding session: build an AI news aggregator with an LLM agent using Claude Code.
Watch the free build
Context Engineering: Foundations of Context
Watch Vizuara’s full introductory lecture on the foundations of context engineering for LLM applications.
Watch the free lecture
MCP: Connect AI Agents to Tools
Learn Model Context Protocol with Dr. Sreedath Panat in this full lecture from Vizuara’s Context Engineering Bootcamp.
Watch the free lecture