At a Big Four firm, I work on a corporate application that evaluates the net worth of privately owned companies. I took an intermittent scrolling issue from profiling through implementation, reducing frame time by ~94%, from ~90ms to ~5ms.
At Mishloha, I owned a six-month feature for weight-based products in a large legacy codebase, from requirements and technical decisions through delivery.
At Andersen Lab, I was appointed Feature Owner for a microservice-based ad campaign feature. I designed a flexible tree-based audience data model and implemented service integrations using DDD, CQRS, Azure Service Bus, Event Hub, and Azure Functions.
Across roles at Ness Digital Engineering, QCENTRIS, and Innowise Group, I contributed to data platforms and enterprise applications. I improved Spark data ingestion, integrated a QTI rendering engine into Angular, and built document-generation solutions with .NET.
