Distinguished Engineer @ Walmart | Cloud & Data Architect
Building internet-scale platforms where data, AI, and trust converge.
I design and lead high-throughput distributed systems, real-time intelligence platforms, and privacy-first AI architectures that power
mission-critical B2B and enterprise ecosystems.
My work spans real-time data platforms, AI-driven decision systems, fraud & identity, Marketing , Salestech, and cloud-native architectures —
translating deep technical complexity into scalable, revenue-driving products.
Engineering Excellence
Technology Innovation
Data Platforms
Designing cloud-native architectures with focus on scalability, resilience, and cost optimization across multi-cloud environments.
Building high-throughput AI/ML pipelines, federated learning models, and privacy-first machine learning systems.
Architecting multi-billion-row real-time data platforms with optimized performance and system reliability.
Architecting large-scale B2B commerce platforms including catalog, pricing, checkout, invoicing, subscriptions, and enterprise integrations optimized for high GMV and complex buyer workflows.
Building end-to-end identity, business verification, fraud detection, and AML systems using rule engines, ML models, third-party data providers, and real-time risk orchestration to protect revenue and ensure compliance.
Designing marketing platforms across email, push notifications, SMS, in-app messaging, and attribution systems, enabling personalization, lifecycle automation, experimentation, and measurable growth.
Architecting sales technology ecosystems including CRM, lead scoring, territory planning, compensation, AI-assisted selling, and analytics to drive pipeline efficiency and revenue acceleration.
Creating intelligent data pipelines and real-time processing systems leveraging Hadoop, Cassandra, and modern data stacks.
Implementing privacy-first architectures ensuring regulatory compliance while maintaining system agility.
Integrating AI into sales and marketing ecosystems for advanced targeting, personalization, and revenue growth.
Walmart Global Tech
Oct 2024 - Present | San Francisco Bay Area
Leading large-scale transformations in distributed computing, AI/ML, and cloud engineering. Architecting enterprise-wide solutions that redefine technology leverage.
Walmart Global Tech
Oct 2021 - Oct 2024 | 3 years
Drove architectural decisions for mission-critical systems, optimized distributed systems for scalability, and led privacy-first AI/ML implementations.
Walmart Global Tech
Jul 2019 - Oct 2021 | 2+ years
Architected multi-billion-row real-time data platforms and implemented high-impact AI-powered automation solutions.
Cisco
Nov 2016 - Jul 2019 | 2+ years
Developed enterprise networking solutions and contributed to distributed systems architecture.
Bank of America
Dec 2015 - Nov 2016 | 1 year
Specialized in Hadoop ecosystem, developing large-scale data processing solutions for financial systems.
A practitioner-led, no-BS comparison of Salesforce Marketing Cloud, Marketo, HubSpot, Pardot, and ActiveCampaign—focused on real-world Salesforce integration, lead lifecycle alignment, pricing reality, and what breaks at scale.
Read More →A deep, architecture-level comparison of Salesforce Marketing Cloud and Adobe Marketo—covering capabilities, data models, AI features, integrations, and suitability for mid-market vs enterprise organizations.
Read on Medium →An in-depth analysis of Figma's IPO journey, exploring the intersection of GenAI hype, growth metrics, and investment reality in the design tools market.
Read on Medium →A comprehensive investor perspective on the Winklevoss-backed Gemini crypto exchange IPO, analyzing revenue trends, valuation metrics, and investment risks.
Read on Medium →A deep, practitioner-focused look at how GANs, diffusion models, and digital twins are transforming fetal ultrasound and MRI—enabling earlier anomaly detection, clearer imaging, and more personalized prenatal care.
Read More →Deep dive into architectural patterns, technology choices, and optimization strategies for building ultra-high-throughput real-time data processing systems that power enterprise decision-making.
Read More →Comprehensive guide to deploying federated learning models at enterprise scale, balancing privacy requirements with model performance while maintaining regulatory compliance.
Read More →Strategic approaches and technical tactics that reduced cloud infrastructure costs by 40% while simultaneously improving performance, reliability, and system resilience.
Read More →War stories and battle-tested patterns for designing resilient distributed systems that handle millions of requests per second while gracefully degrading under failure conditions.
Read More →Interested in discussing distributed systems, AI/ML, tech investments, or large-scale enterprise data engineering? Let's collaborate.