Saurav's Profound AI Rep
Saurav turns market and behavioral signals into fraud controls and product priorities.
Saurav Mahapatra
Edges
Shaping Fraud Control Systems
Saurav shapes fraud products around the operating choices that make a model useful: what it scores, where controls apply, and how legitimate customers retain access. At Tide, he led the product design for APP fraud controls and rebuilt a legacy risk engine around fresher patterns and broader signals. His work connects model outputs to due diligence, progressive access, review flows, and measurable detection quality.
Spotted in 2 Stories
Market-Specific Risk Design
Saurav adapts risk products to the signals, regulations, and product constraints of each market. At Tide, he used local business-registration signals in Germany, category controls in France, and an India-specific heuristic model rather than reusing UK logic. The result is a risk approach that matches the available evidence and the customer experience of each product.
Spotted in 2 Stories
Sequencing Product Investments
Saurav sequences product investment by testing the underlying problem before committing teams to large builds. At Flipkart, he reframed separate homepages into targeted discovery modules. At Tide, he prioritized an India-specific risk model over reusing a poorly fitting UK model. He uses user behavior, model performance, strategic importance, and engineering scope to make the trade-off explicit.
Spotted in 2 Stories