Ad Measurement at Retail Scale
Integrated playback signals from 550+ Amazon stores into the Amazon Ads backbone, unlocking real-time performance analytics across 13,000+ digital surfaces.
Software Engineering Manager · Amazon Ads & Personalization
Engineering leadership that scales products, teams, and outcomes.
I grow high-performing engineering teams, launch personalization and measurement platforms that serve hundreds of millions of customers, and bring emerging AI safely into production to amplify marketer and operator impact.
- 19+ years leading global engineering teams across enterprise, agency, and startup environments
- 13K+ Amazon in-store and retail screens instrumented for real-time ad delivery insight
- 167% org growth through purposeful hiring, coaching, and delivery mechanisms
Impact Highlights
Examples of complex, high-visibility programs delivered through cross-functional leadership and technical rigor.
Personalization Platform Launch
Built a service processing billions of data records to deliver highly targeted marketing campaigns, powering new personalization capabilities across Amazon marketplaces.
GenAI Playbooks for Marketers
Delivered agentic workflows with LLM-powered assistants that accelerate campaign QA, knowledge retrieval, and stakeholder readiness.
SaaS Launch from Zero to Market
Led Casebook’s cloud-native engineering team to deliver a secure, multi-tenant SaaS platform in under a year, onboarding 30+ customers within six months.
Career Snapshot
Progressive leadership across enterprise, agency, and startup environments.
- Lead engineering teams within Personalization and Advertising, shipping platforms that power billions of monthly impressions across Amazon’s retail, web, and in-store surfaces.
- Incubated generative AI agents leveraging Model Context Protocol integration and retrieval-augmented generation to automate campaign QA, insights, and playbooks.
- Activated new omni-channel data signals and experimentation loops that accelerate audience targeting, measurement, and advertiser value.
- Cultivate a high-performance culture through intentional hiring, coaching, and operational excellence mechanisms.
- Scaled a distributed engineering organization across four product squads to deliver a human services SaaS platform on AWS, Kubernetes, GraphQL, and event streaming foundations.
- Optimized multi-tenant cloud infrastructure, cutting $200K in annual spend while upholding rigorous availability and security commitments.
- Guided regional technology strategy, enterprise CMS personalization programs, and multi-cloud integration roadmaps for global clients.
- Delivered multimillion-dollar programs in e-commerce, marketing technology, and data platforms while launching personalization, analytics, and marketing automation capabilities for Fortune 500 brands.
- Built foundational expertise in full-stack development and systems integration.
Leadership & Focus Areas
A balanced approach that aligns customer value, engineering velocity, and operational rigor.
Platform Strategy
Architect cloud-native, data-rich platforms that combine streaming data, retrieval-augmented generation, and Model Context Protocol integrations to move concepts from discovery to scaled products.
People & Culture
Invest in hiring, coaching, and career pathways that unlock high trust and accountability across distributed teams. Champion inclusive, experimentation-friendly practices that help engineers ship faster with confidence.
Operational Excellence
Instill observability, incident response, FinOps, and governance mechanisms that keep complex AI and data platforms safe, trustworthy, and auditable.
Core Competencies
Technical Toolkit
Hands-on across Java, Python, .NET, Node.js, React, GraphQL, Kafka, Elasticsearch, AWS, Azure, GCP. OpenAI API and Amazon Bedrock. Certified AWS Solutions Architect - Professional.
M.S. Computer Science, SUNY Binghamton · B.E. Electronics, University of Mumbai
Ask the AI Assistant
Explore my experience, leadership approach, and technical background through a retrieval-augmented conversational assistant running on MCP-compliant connectors to my résumé and LinkedIn profile.
Let’s Connect
If you’re building modern cloud or generative AI products and need engineering leadership to scale them responsibly, I’d love to talk.