Senior Manager Software Engineering at Independent Researcher
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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:
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:
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:
My work directly supports platforms that enable:
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:
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
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