At Applause, I led eight concurrent global programs across 30+ enterprise clients and 150+ operations and engineering contributors, improving margins by roughly 20 points.
I partnered with engineering, product, legal, executives, and Fortune 100 clients to remove delivery bottlenecks, manage risks, and align technology with business priorities. I also drove AI-enabled cost savings using commercial LLMs and custom models, reducing staffing and tooling costs by 30–40% on high-manual-effort programs.
Earlier, I built JavaScript, Python, and Selenium automation tools, developed quality standards for data training and annotation work, and supported search evaluation and ML-based virtual assistant refinement.
