Shepherded projects from concept to launch at AWS, including consumer apps & internal tools
AI-powered travel discovery that guides undecided travelers from inspiration to booking through personalized recommendations.
59% of travelers begin without a destination in mind, spending an average of 33 days seeking inspiration. Current travel booking platforms are destination-focused, leaving users without clear guidance during the critical discovery phase and lacking the intuitive, personalized experience users want.
An AI-powered discovery experience that guides undecided travelers through personalized recommendations while maintaining cost-effectiveness. The solution features distinct flows for new and returning users, leveraging Amazon AgentCore with Strands Agent Framework.
Guided question flow addressing top decision factors (weather, trip type, costs)
Personalized dashboard leveraging user history with tailored recommendations and streamlined booking
Visual recommendation cards, "Best Price" badges, AI search functionality, and price comparison visibility
Conducted user research with travelers to validate pain points
Built a prototype utilizing Claude
Presented to 5 stakeholders and received sign-off
Collaborated with engineering to build production-ready on AWS
"Can I use this to book trips right now? I much rather prefer this over the current process" — User Feedback
One-click browser tool that eliminates manual data copying from LinkedIn Sales Navigator, reducing export time by 98% and errors by 99%.
Demand Generation team members wasted hours manually copying individual prospect data from LinkedIn Sales Navigator to spreadsheets, causing errors and reducing strategic focus time.
Challenge: Design a seamless, time-saving solution that eliminates repetitive copying while maintaining data accuracy and fitting naturally into existing workflows.
A browser extension that enables one-click export of prospect data from LinkedIn Sales Navigator, with customizable field selection and multiple export formats.
Browser tool that automates LinkedIn message personalization with one-click template insertion and automatic name detection, reducing messaging time by 89%.
Sales teams spent 30-45 seconds per LinkedIn message on repetitive tasks: copying templates, pasting them, and manually typing recipient names 50-100+ times daily.
Challenge: Create a browser tool that eliminates repetitive messaging tasks while maintaining message personalization.
A browser extension that enables one-click template insertion with automatic name detection, eliminating manual copying and typing while maintaining personalized messaging.