Classical ML

Not every problem needs a large language model. Classification, ranking, recommendation, and fraud models remain the most reliable and cost-effective answer to many enterprise problems — and the predictive backbone of good agents.

At Ayasdi AI I architected the supervised learning platform that unlocked several million dollars in new revenue in its first year across healthcare, finance, and fraud detection. At MarkovML I built a data-centric AI platform for active learning, noisy-label estimation, and human-in-the-loop labeling.