Nipun Sharma

• Led product development for AI+ Studio, a centralized platform for configuring and deploying GenAI use cases
across multiple AI providers
• Built AI guardrails as a platform capability, providing configurable safety controls across GenAI use cases;
benchmarked against industry standards with strong accuracy
• Defined PII masking capability using AI-based detection and regex rules to prevent sensitive data from reaching
LLMs; implemented secure masking and demasking flows across GenAI use cases for 1400+ clients
• Defined and executed a phased migration strategy for GenAI use cases across 200+ clients to ensure compliance
with GDPR and EU data residency requirements, enabling transition across providers without service disruption
• Built AI reporting system to track GenAI usage, cost, and error patterns across providers; used by internal teams
for debugging and optimization, and by enterprise clients for monitoring and controlling AI consumption
• Collaborated with cross-functional teams and engineering to deliver platform capabilities; conducted RCA,
debugging, and issue resolution, driving fixes and stakeholder communication

• Led development of digital onboarding workflows for property operations, improving readiness and reducing
manual dependencies
• Standardized operational processes by defining SOPs and integrating cross-platform systems, reducing turnaround
time (TAT) by ~35%
• Built workflow automation modules to streamline operations, improve data accuracy, and reduce manual effort,
increasing overall efficiency by ~20%
• Leveraged analytics to monitor user behavior and operational metrics, driving data-backed improvements and
increasing process efficiency by ~25%

• Conducted user research and usability testing to identify pain points and inform product decisions across key user
workflows
• Introduced Ledger feature enabling 80, 000+ businesses to access and download transaction records, improving
financial transparency and usability
• Implemented GST verification system using third-party APIs, reducing risk of duplicate tax payments for ~22% of
users