Jake Ryan Sokol

• Developed back testing systems for fully automated pricing algorithm simulations
• Developed "copilot", a pricing engine capable of computing optimal price suggestions for all active major league sports inventory in real time, including systems for performance monitoring and drift testing
• Responsible for managing sprints, backlogs and cross team collaborations

• Objective: create user facing pricing technology using our sale price prediction models
• Developed "Auto Criteria", an auto pricing feature tracking towards 8 figure yearly sales volume
• Worked cross team with full time inventory managers, product leads, and the CEO to create a vision for the feature

• Objective: scale the predictive capabilities of our prototype model to support thousands of venues and dozens of event types
• Re-developed my model and pre-existing systems to train using Automatiq's larger sales dataset
• Worked with two full stack engineers to scale an ML pipeline capable of training models for thousands of venues at a time

• Created and ultimately sold intellectual property and ML systems which predict ticket sales for events on the secondary market
• Worked in partnership with fellow Brown student to identify this business problem and develop a data-driven solution
• Reached an agreement to sell our research / intellectual property to Automatiq, the leading software vendor in the ticket pricing technology and distribution space

• Improved cloud service telemetry through standardization of metric format and introduction of structured logging across services in Python, Rust, and C++
• Implementing automated lag redistributor for Kafka partitions

• Built a Kubernetes Resource filtering service to facilitate specialized resource tracking for easier management and visualization of large Kubernetes clusters