Model Serving Team. Scaling LLM inference.

Defined the technical and business strategy by creating a vision to leverage engineering opportunities into new product areas.

Successfully navigated the company through technical due-diligence during an acquisition.

Created formal standards for engineering managers and guided two engineers in their transition to become managers. Defined leveling systems and growth tracks for individual contributors and engineer managers.

Architected and built a custom analytics data-pipeline built in Rust to reliably and efficiently collect ~10M analytics events per day from all user-facing applications and store them in Snowflake.

Collaborated with data scientists to extract actionable insights from analytics using Tableau and integrate data-driven decision making into the engineering process.

Organized a collaborative initiative to create leveling systems and growth tracks for engineering individual contributors.

Architected and built a custom analytics data-pipeline to collect analytics from user-facing applications and store it in Snowflake. Collaborated with business analysts to extract actionable insights from analytics using Tableau.

Built and refined a product recommendation machine learning model that increased average order size by 3-5%.

Lead the effort to make the company PCI compliant as verified by a qualified security accessor

Helped scale the core ordering platform to reliably handle a 27x increase in order volume during COVID-19.

Architected an update to the backend monolith to separate analytics, machine learning, and customization into scalable micro services.

Set best practices for observability using Datadog on all platforms.

Improved the security of all platforms by protecting PII, building defenses against DDoS attacks, and coordinated with external security audits to identify and verify vulnerabilities.

Established an on-call rotation and trained all engineers to triage and document production incidents.

Specialized in search and recommendations. Architected and implemented a new recommendations engine leveraging AWS Sagemaker and using an ensemble of content and collaborative-filtering models that lead to a 20% increase in backings.

Established best practices for A/B testing and monitoring of machine learning models using Optimizely and Grafana.

Lead a team of eight engineer in the upgrade of a legacy search system into a modern Elasticsearch service.

Helped update the entire application to be GDPR compliant.

Mentored 4 junior engineers as they developed their front-end and back-end engineering skills through regular pairing sessions and daily code reviews.