I've built production ML and GenAI systems at Scopely that turn ambiguous product goals into measurable business outcomes. My work has contributed to $2M+ in incremental revenue, including $1M+ in 2026 YTD.
I designed a declarative LiveOps authoring system that uses an LLM to translate intent into validated, engine-ready configurations, scaling content creation from dozens of items per week to thousands. I also built personalization and segmentation for in-game offers and events, increasing ARPDAU by 4.5% through controlled A/B experimentation.
At Scopely, I've developed recommender systems for personalized bundles and events across multiple games, alongside production ML infrastructure using AWS, Terraform, Airflow, and dbt. I also architected a governed GenAI analytics agent using MCP, Pinecone RAG, and Looker MCP.
Earlier, I developed and deployed CNN-based computer vision for steel microstructure analysis and industrial quality control. I enjoy carrying ML work across modeling, evaluation, infrastructure, and production delivery.
