Advertising @ Shopify

Led engineering and product at an AI-first commerce startup focused on applying AI to reimagine how users discover and shop for products. Built the foundational team, architecture, and roadmap to ship AI-native consumer experiences.

• Translated AI capabilities (LLMs, Agentic, Vision) into scalable, user-centric products in the commerce domain.

• Built and scaled full-stack product and engineering teams from the ground up.

• Defined product strategy, GTM, and experimentation frameworks to rapidly iterate toward product-market fit.

• Integrated multi-modal AI for visual search and conversational discovery experiences.

• Established engineering and operational best practices for fast-paced, zero-to-one execution

Led the engineering and data science teams behind Twilio’s AI-powered Customer Engagement Platform and OTT Communication Platform. Oversaw core infrastructure, experimentation, and strategic product initiatives across Messaging and Customer Engagement initiatives.

• Built cross-functional engineering and data science teams focused on AI/ML-powered customer engagement product and OTT messaging platform.

• Enabled product teams to rapidly experiment and determine product-market fit by leading the development and launch of the first B2B Customer Engagement product, empowering businesses to identify long-term value and lookalike audiences for their customers.

• Managed and mentored engineering leaders and teams to build the next generation of messaging OTT products, ensuring alignment with organizational goals and driving high performance across reporting managers

Led Engineering and ML teams within Amazon’s Item, Offers and Relationships organization, driving the development of large-scale, intelligent systems that powered core e-commerce experiences globally. Focused on distributed systems, machine learning platforms, and automation to accelerate international expansion and operational excellence.

• Architected and scaled ML systems using Amazon SageMaker, Spark, and EMR, supporting billions of catalog relationships and powering real-time product inference pipelines.

• Led initiatives to adopt deep neural networks and advanced ML algorithms to improve product matching, deduplication, and offer relevance across global marketplaces.

• Enabled feature expansion to 16 countries and hundreds of product categories, increasing system coverage by 200% YoY.

• Built automation frameworks that reduced time-to-market for launching new country relationships from 1 month to 3 days.

• Delivered high-scale, fault-tolerant distributed systems and data pipelines using Spark, EMR, S3, and Kinesis, ensuring low-latency data processing and high availability

• Served as an official Amazon Bar Raiser, raising hiring standards and driving performance across engineering, product, and applied science roles.

• Led cross-functional operational excellence initiatives across 16+ engineering teams and leaders, driving alignment on performance metrics, streamlining processes, and elevating engineering standards across the org