Speaker

Pranav Gujarathi

Pranav Gujarathi

Senior AI Engineer | Generative AI & Agentic Systems Architect | Enterprise LLM Deployment Specialist

Austin, Texas, United States

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I'm a Generative AI & ML Engineer based in Austin, TX — and I genuinely believe we're living through the most exciting moment in the history of computing. I've spent the last 8+ years turning that belief into production systems that actually move needles.
Right now, I work as a **Senior AI Engineer at [Twin Health](https://www.twinhealth.com/)**, where I architect multi-agent AI platforms for personalized digital health. The work hits close to home in the most literal sense: the AI systems I build — ones that ingest real-time wearable data, interpret lab results, and deliver hyper-personalized diet and nutrition guidance — have contributed to a **37% Type 2 diabetes reversal rate** across our patient population. That's not a dashboard metric. That's people reclaiming their health.
Before Twin Health, I spent over a year at **Cigna Health** building Generative AI into the Prior Authorization process — a notoriously slow, paper-heavy corner of healthcare that desperately needed agentic intelligence. And before that, I spent two years at **Walmart Global Tech**, where I built a voice/text-driven AI tool that saved **130,000 associate work hours every single week**, and a RAG-based system that cut attribute-extraction costs by **80%** with **24× faster turnaround**. Large-scale impact is something I've come to expect from this work.

My path here wasn't strictly linear. I started as an Electrical Engineering undergraduate at **IIT Roorkee**, pivoted into data science at **Indiana University – Bloomington** (where I earned a Master's and the Luddy Outstanding Research Award), and along the way published research at **NeurIPS** (Best Paper) and **ACM COMPASS**. More recently, I completed an **MBA in Entrepreneurship** from University of the Cumberlands — because building great AI isn't just an engineering challenge, it's a product and people challenge too.

Area of Expertise

  • Health & Medical
  • Information & Communications Technology

Topics

  • ai

Agentic AI in Production: From LLM Experiments to Enterprise-Scale Impact

Agentic AI in Production explores what happens when AI systems move beyond answering questions and begin taking action across tools, workflows, and live enterprise environments. The talk argues that production agents are not just a model-performance challenge, but a delegation, governance, and accountability challenge.

The session introduces a practical framework for evaluating agentic systems by their function, authority, reversibility, and operating context. Using real-world examples from customer support, sales chatbots, healthcare-adjacent tools, coding agents, and large-scale automation, it shows how failures often occur when organizations hand over responsibility faster than they build controls.

The talk highlights key production concerns for product, engineering, and cloud teams: observability, source-of-truth grounding, least-privilege access, dev/prod separation, rollback, human escalation, and vendor tradeoffs. The central takeaway is simple: before increasing autonomy, teams must first ship the control layer.

IEEE Cloud Summit 2026 Sessionize Event Upcoming

June 2026 Washington, District of Columbia, United States

Pranav Gujarathi

Senior AI Engineer | Generative AI & Agentic Systems Architect | Enterprise LLM Deployment Specialist

Austin, Texas, United States

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