The Challenge
Traditional risk assessment in India relies on legacy algorithms that exclude millions of self-employed and gig-economy workers. In a country where over 80% of the workforce is informal, the financial system was designed for the minority who could produce payslips and credit histories.
My mission at HyperVerge was to lead the Modules charter and transform credit underwriting into a seamless, AI-driven experience — one that could bring financial access to shop owners, street vendors, and first-time borrowers.
What I Built
I led a cross-functional team of nine to build India's first AI-powered credit underwriting suite — four products that fundamentally changed how lenders assess risk:
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Financial Document OCR
AI-powered extraction from bank statements, ITRs, and GST returns with 95%+ accuracy. Reduced manual review from hours to seconds.
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Account Aggregator Integration
India's first seamless AA-based data pipeline for real-time financial profiling — enabling lenders to pull verified data with user consent.
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Low-Code Onboarding Platform
An industry-first drag-and-drop workflow builder that let lenders configure underwriting rules without engineering support. 4x increase in average revenue per transaction.
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API Marketplace
Integrated 85+ third-party verification APIs into a single orchestration layer, reducing deployment time by 50%.
By reducing Turnaround Time from several hours to under 3 minutes, we enabled rural shop owners in Karnataka to get microloans almost instantly — a process that previously took days of paperwork and branch visits.
"Aayush stands out for his rare combination of curiosity, clarity, and technical empathy... He consistently steps beyond the formal boundaries of his role and engages deeply with the technical side of AI products."
— Narasimha Y, Lead ML Engineer at HyperVergeKey Achievements
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Revenue Impact
Scaled 3 major modules to Product-Market Fit within 6 months, generating $1.2M ARR and driving a majority of company revenue in India.
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Infrastructure Overhaul
Redesigned backend infrastructure to support 85+ verification APIs, reducing deployment time by 50% and enabling rapid client onboarding.
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Team Leadership
Built and led a 9-person cross-functional team across engineering, ML, design, and QA — shipping four products in six months.