Scalable LLM serving and inference optimization
Currently working on researching and building methods to explore scalable, lower-cost LLM serving and inference optimization.
Studying computer science at Columbia University. Recently in product engineering at SpaceX; formerly in product leadership at Amazon.
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2026Led product strategy and customer discovery for AI-cluster networking, translating workload requirements into network topology, capacity, and service-level requirements. Defined pricing and service tiers for dedicated internet access, and led engineering delivery of a unified Starlink business ordering system across service plans and hardware.
2019–2026Product selection, probabilistic demand forecasting, inventory placement, and replenishment recommendation systems for business customers.
Session-level attribution, personalized recommendations, and machine-learning systems for content evaluation and platform integrity.
Routing optimization and delivery-quality analysis using geospatial and delivery-density data across Los Angeles and San Diego.
Cross-site process improvement, program deployment, and operational standardization across Amazon’s fulfillment network.
Currently working on researching and building methods to explore scalable, lower-cost LLM serving and inference optimization.
A controlled CIFAR-100 comparison of a residual CNN and a Vision Transformer trained from scratch under matched parameter and estimated compute budgets, measuring accuracy, calibration, noise response, and runtime to inform model selection.
Read the studyThe CNN achieves a 5.34 percentage-point accuracy advantage under the shared training protocol.
Custom models with approximately 1M parameters · CIFAR-100 · Random initialization · Three-seed means
Three MNIST experiments compare reconstruction and subspace geometry, then test architectural constraints and training choices. Includes the full paper and all four original figures.
Read the research
The limits of First Amendment protection for college student protest and speech.
Marshall, Taney, federalism, slavery, and the legacy of Dred Scott.
Executive aggrandizement and the changing relationship between state power and societal constraint.
Analysis of Ma Rainey, Big Mama Thornton, and the political economy of artistic recognition.
I love hanging out with friends, trying new restaurants in New York, traveling, and taking road trips. I recently drove across the country from New York to Los Angeles twice. I’m also a big music lover.