





Zendesk plugin designed to handle peak customer support volumes. Project in collaboration with bonsai.tech, a data science and ML lab, on a Zendesk plugin for customer support. Ticketflip uses machine learning and smart defaults to assign support tickets to the agent best equipped to handle each request. It was designed to seamlessly integrate into the Zendesk ecosystem and workflows





Premises: With the proliferation of AI agents and agentic IDEs, new usability challenges arise. Extensive prompting is not really a great experience, and describing the desired element can sometimes be almost impossible. Using auto-suggest and natural-language input in combination with a manual selector offers a flexible solution to this problem.






Premises: Throughout the history of music, experimenting with new tools, techniques, and sounds was more about expression and finding the soul of music than about productivity. It's about using a contextual AI helper to bounce ideas and find new inspiration.







The platform provided fund-prediction signals and trading support to internal teams. Built as an analyst-first tool, it enabled analysts, fund and risk managers to monitor signals, run simulations and manage executions with clearly separated controls and cross-functional views. Features include a real-time signals overview, portfolio simulation, role-based dashboards, and a notification system. All built around four-level coexisting information architecture to surface context at glance, and enable cross-role coordination.