Summary
Ayush J is an Enterprise AI Strategist and Solutions Designer with a decade of experience translating marketing analytics into pragmatic AI strategies for banking and fintech. He combines hands-on growth and CRM experience from Robinhood, Vivino, and Invoice2go with enterprise AI work at Solix, building use cases across campaign strategy, audience intelligence, creative ops, and channel delivery. Ayush pairs technical fluency (Python, SQL, Looker, BI pipelines) with governance expertise—designing frameworks for AML, fraud surveillance, GDPR, and AI risk that resonate with both compliance and C-suite stakeholders. He authors executive whitepapers, prototypes demos and multi-agent PoCs, and often bridges the gap where strategy efforts falter by keeping business impact front and center. Trained originally in molecular biology and later in fintech ML and data analytics, he brings a rare cross-disciplinary perspective that helps teams move from analytic insight to auditable enterprise AI deployment.
10 years of coding experience
9 years of employment as a software developer
Certification, Data Analytics Certificate, Certification, Data Analytics Certificate at General Assembly
University of California Santa Cruz
Certificate, Fintech Machine Learning, Certificate, Fintech Machine Learning at UC Berkeley Extension
Bengali, Hindi, English