Kapil Kumar Reddy Poreddy

Professional Experience:

I've done work around building a world-class Customer experience across Geographies like the Middle East .

· www.Emirates.com {worked on building the Internet Booking Engine, while I was in Dubai, UAE }

· www.telenorsweden.com {worked on building the Billing Engine}

Over the course of two decades, my work has progressed toward solving increasingly complex, system-level healthcare challenges, with a clear through-line: transforming how health services are designed, delivered, and scaled across the United States.

Phase 1: Digital Health Foundations and Population Well-Being

My early and mid-career work focused on digital health platforms designed to improve population health outcomes, preventive engagement, and healthcare transparency.

At organizations such as Castlight Health, I contributed to systems that:

1. Integrated clinical, behavioral, and benefits data at scale
2. Enabled large U.S. employers to improve population-level health outcomes
3. Delivered actionable, personalized health insights directly to millions of covered individuals

These platforms were adopted by major employers and health ecosystems, supporting millions of users nationwide and contributing to improved preventive care participation, informed decision-making, and more cost-effective utilization of healthcare services.

This phase established a foundation in population health intelligence — measuring risk, surfacing insight, and influencing behavior at scale.

Phase 2: Care Delivery Systems and Applied AI

Building on this foundation, my work evolved from insight generation to care delivery enablement — bridging the gap between prediction and execution.

In this phase, I:

1. Applied machine learning and AI to healthcare-adjacent decision systems
2. Led engineering initiatives where system performance directly impacted user outcomes
3. Built high-reliability, low-latency platforms requiring fault tolerance, continuous availability, and operational resilience

This transition represents a critical inflection point in my work: I moved from understanding health outcomes to operationalizing healthcare services, where engineering rigor directly affected real-world care delivery.

Phase 3: National-Scale Physical Infrastructure for Care Delivery

In my current role at Walmart Global Tech, I operate at population scale, supporting infrastructure that serves:

1. 240+ million customers weekly
2. Tens of millions of daily transactions across retail, pharmacy, and fulfillment ecosystems

My work directly supports platforms that enable:

1. Prescription fulfillment and delivery
2. Expanded healthcare access through retail-based channels
3. Reliable execution of time-sensitive and safety-critical workflows

Pioneering Drone-Based Delivery Infrastructure

My most significant and forward-looking contributions involve serving as Single-Threaded Owner (STO) CX for drone-based delivery infrastructure This work represents a fundamental shift in U.S. care delivery capability, addressing systemic challenges such as:

1. Last-mile access
2. Time-critical delivery &
3. Scalability

Importantly, this is production-grade infrastructure, not experimental research.

These systems operate within live retail ecosystems, where reliability, safety, and scale are non-negotiable. This phase reflects the culmination of my work: building physical infrastructure that translates digital health intelligence into real-world delivery at national scale.

Research Publications & Papers Under Review:

Accepted / Published:

• "LLM-Powered Health Signal Detection from Retail Purchase Patterns in Underserved Communities" – JMIR AI (Accepted, In Editor's Office) LLM pipeline for detecting health signals from retail data; addresses healthcare access disparities in underserved populations

• "Food as Medicine: AI-Driven Nutritional Intervention Framework" – Conference Presentation (November 2025) AI framework linking retail food purchase data to personalized nutritional interventions

Under Peer Review:

• "Responsible AI for Pediatric Health: Early Prediction of Autism and Developmental Delays" – Under review at Scientific Reports (Nature)

Responsible AI framework for early developmental screening; fairness-aware ML for pediatric populations

• "AI-Driven Chronic Kidney Disease Risk Prediction from Retail Health Signals" – Under review at JMIR AI

ML pipeline for CKD risk stratification using non-clinical retail purchase patterns

• "Mental Health Crisis Detection Using Shopping Behavior Patterns" – Under review at JMIR AI

Behavioral signal detection for mental health interventions; privacy-preserving ML on retail data

• "Carbon Footprint Scoring at Checkout: Real-Time Eco-Labeling with Federated Learning" – Under review at Scientific Reports (Nature)

Federated learning for cross-retailer carbon footprint estimation; behavioral nudging for sustainability

In Preparation:

• "Equity-Aware Checkout: An AI-Driven Framework for Fair and Personalized Essential Goods Access" – Target: JMIR

Algorithmic fairness in retail AI; ensuring equitable access to essential goods across demographics

• "Cardiovascular Disease Risk Prediction from Retail Purchase and Social Isolation Patterns" – In Development

Multi-signal ML model combining food purchase patterns, social isolation indicators, and behavioral data for CVD risk

Areas

Based on my research and industry experience, I am well-positioned to advance outcomes in:

· Technology and Engineering management

· Automatic speech recognition (ASR) and NLP systems

· Healthcare NLP and clinical text processing

· Retrieval-augmented generation (RAG) architectures

· Multimodal language models

· LLM applications for health signal detection

· Privacy-preserving NLP on sensitive data

Non-Profit contributions:

· Advising a women owned Mental Health Startup https://www.pacificmndfl.com/ as their External Advisory Board Member – AI & Digital Health Systems

· Mentor for the Grad students of Cal State Long beach for the sunstone-innovation-challenge 20256

Speaker contributions:

Speaker at multiple conferences including IEEE / Digital Expo / DataCon LA