Sahil Dhansinghani

Building an AI tool that simulates real-world actions using synthetic users — so teams can test how products behave before shipping.

• Pivoted from an AI due diligence copilot into synthetic-user simulation after early customer learning.
• Designing and shipping the product end-to-end: discovery, product, and technical execution.
• Previously took the diligence product from idea → MVP → 2 pilot deals with top-tier funds (>$100M AUM) and a waitlist of 20+ firms.

Launched an enterprise AI assistant deployed across multiple enterprises to streamline workflows.

• Increased operational efficiency by 300% and reduced costs by 88% through RPA.
• Deployed solutions across multiple enterprises to boost productivity.
• Defined product roadmap through user research and market analysis.
• Led a cross-functional team of 6.

Led a startup’s beta product launch for a digital marketplace serving the MENA region.

• Worked across Engineering, Marketing, Design, and Data Science to launch the beta.
• Drove continuous process improvement with low-code and resource optimization — 60% cost savings and 1 month faster time to market for a key feature.
• Ran market research, defined the project management process, and produced roadmaps and go-to-market strategies.

Built tools that simplified access to complex engineering data and automated site operations.

• Developed a voice app to simplify access to BIM data models — cut problem resolution from 5 days to 10 minutes and saved $250k in the first year by eliminating on-site resources.
• Conceptualized a computer-vision solution for asset management that automated site monitoring and enabled data-driven decisions.