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AI Product & Platform Executive · Chief AI / CPO Track · Enterprise Gen AI & Agentic Systems
AI product & platform executive with 14+ years building regulated enterprise AI in fintech, banking, and insurance. At Interface.ai, Head of AI–scope ownership across product strategy, platform architecture, and delivery for Tier-1 US banks and credit unions—agentic voice AI, agentic chat AI, and an agentic contact center platform (AI and human agents) on a multi-tenant SaaS platform. Sets AI vision and portfolio bets (build/partner, roadmap trade-offs) with C-suite and enterprise buyers; leads cross-functional global org (product, engineering, ML, design). Establishes responsible AI (guardrails, evals, auditability, compliance alignment) and operational excellence (SLOs, observability, cost/latency governance) on AWS and Azure. Drives commercial outcomes—enterprise expansion, packaging, and strategic partnerships. Business impact: 87% containment, +22% CSAT, 30% faster resolution.
Dr. A.P.J. Abdul Kalam Technical University (AKTU), Lucknow
Bachelor of Technology (BTech), Information Technology
January 1, 2007 – January 1, 2011
KCM Public School
Intermediate, Science
January 1, 1998 – January 1, 2007
interface.ai
Senior Product Manager
February 1, 2023 – Present
Gurugram · Remote
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PCEP – Certified Entry-Level Python Programmer
Python Institute®
June 23, 2026 – Present
Microsoft Certified: Azure AI Fundamentals
Microsoft
June 23, 2026 – Present
Leadership: Practical Leadership Skills
Udemy
June 23, 2026 – Present
Cultural Fit Analysis
The candidate has a strong background in enterprise software and AI, with experience in both product management and architecture roles. Their work in regulated industries (banking, insurance) suggests an ability to navigate complex environments and focus on compliance and governance. While the target role is ML Engineer, their recent experience is heavily skewed towards product management and solutions architecture, which might indicate a slight mismatch if the role is purely hands-on ML model development. However, their deep understanding of ML systems and deployment could be highly valuable in an ML Engineering leadership or architect role. The breadth of experience across different companies and roles shows adaptability.
Soft Skills & Operational Fit
The candidate's experience as a Senior Product Manager and Solutions Architect demonstrates strong leadership, strategic thinking, and cross-functional collaboration skills. Their ability to define product strategy, lead teams, and partner with C-suite customers indicates excellent communication and stakeholder management. The focus on enterprise AI governance and operational readiness suggests a methodical and risk-aware approach to deployment.