diff --git a/assets/events/2026-nashville/speakers/sharath-thirunagaru.png b/assets/events/2026-nashville/speakers/sharath-thirunagaru.png new file mode 100644 index 0000000000..fc86438b58 Binary files /dev/null and b/assets/events/2026-nashville/speakers/sharath-thirunagaru.png differ diff --git a/content/events/2026-nashville/program/sharath-thirunagaru.md b/content/events/2026-nashville/program/sharath-thirunagaru.md new file mode 100644 index 0000000000..deaff1c699 --- /dev/null +++ b/content/events/2026-nashville/program/sharath-thirunagaru.md @@ -0,0 +1,14 @@ ++++ +Talk_date = "" +Talk_start_time = "" +Talk_end_time = "" +Title = "Agentic AI for IaC: Skills + MCP Aligned with Enterprise Terraform Building Block" +Type = "talk" +Speakers = ["sharath-thirunagaru"] ++++ + +Enterprise IaC teams have spent years building Terraform base modules, naming rules, and approval gates. Most AI agent demos ignore all of that — generating freeform HCL and creating more cleanup than they save. + +This talk takes a different approach: your existing modules and conventions are the source of truth, not something the agent bypasses. I'll walk through a governed workflow (discover → validate → implement → audit) and show how MCP and skills-based architecture keep it portable across models. + +I'll also cover why observability: structured events, audit trails, replay isn't optional when you need to explain agent behavior to a compliance team. You'll leave with a reference architecture for aligning agents with your internal Terraform standards. \ No newline at end of file diff --git a/content/events/2026-nashville/speakers/sharath-thirunagaru.md b/content/events/2026-nashville/speakers/sharath-thirunagaru.md new file mode 100644 index 0000000000..cbf4460e6f --- /dev/null +++ b/content/events/2026-nashville/speakers/sharath-thirunagaru.md @@ -0,0 +1,11 @@ ++++ +Title = "Sharath Thirunagaru" +Twitter = "" +linkedin = "" +image = "sharath-thirunagaru.png" +type = "speaker" +linktitle = "sharath-thirunagaru" +Website = "" ++++ + +Sharath is the Founder of Tror and Qyoob AI, where he builds custom agentic AI solutions and drives AI strategy for enterprise teams. Over the past 15 years, he has built and deployed AI systems across the insurance, healthcare, financial services, music, and telecom industries. His experience ranges from computer vision models for property reviews to clinical NLP for health records and predictive models for investment risk. Currently, Sharath is focused on helping enterprises transform their AI strategies into tangible, shippable products. \ No newline at end of file diff --git a/data/events/2026/nashville/main.yml b/data/events/2026/nashville/main.yml index 4d2d0fe6a7..63e9bf98b5 100644 --- a/data/events/2026/nashville/main.yml +++ b/data/events/2026/nashville/main.yml @@ -276,7 +276,7 @@ program: date: 2026-05-15 start_time: "14:15" end_time: "15:15" - - title: "reserved" + - title: "sharath-thirunagaru" type: talk date: 2026-05-15 start_time: "15:15"