Summary
Aruna Neervannan is a founder and applied machine learning specialist with 8+ years of experience building AI-first products that turn hidden conversation signals into measurable business outcomes. She co-founded Rafiki AI to deliver affordable revenue and conversation intelligence and now leads Screenwise.ai, which uses voice interviewing to eliminate fake or misrepresented candidates and cut initial screening time by up to 80%. Her background spans deep learning research, enterprise software architecture, and mission-critical medical imaging systems, giving her a rare combination of research rigor and production-grade engineering. A University of Illinois CS master's graduate with a perfect GPA and two decades of product delivery, she excels at translating complex ML models into plug-and-play solutions that integrate with existing workflows. Notably, her work focuses on surfacing subtle, high-impact signals—signals sales and recruiting teams routinely miss—so organizations can act earlier and more precisely.
8 years of coding experience
24 years of employment as a software developer
Bachelor’s Degree, Computer Science & Engineering, 4.0, Bachelor’s Degree, Computer Science & Engineering, 4.0 at University of Madras
University of Illinois Urbana-Champaign