My Projects

Creating a Claude Skill for conducting comprehensive company and product research.

Conducting a competitive analysis on Buy-Now Pay-Later (BNPL) products in the EU market using an AI-assisted workflow.

Defining requirements for an AI agent that will handle customers’ support requests on a B2B payroll & HR platform.

Building a web scraper to quickly extract App Store, Google Play Store, and Trustpilot reviews for analysis.

Exploring how rideshare apps can leverage product analytics data.

Designing a process description for a new tax feature on a German investment app that allows users to claim additional tax exemptions on capital gains.

Researching the requirements for a KYC (Know Your Customer) process for a Dutch B2C Fintech App.

Building an AI-driven B2B SaaS application to revolutionize tax preparation for Small and Medium-Sized Businesses in the US.

An overview of the context engineering for product team members and stakeholders.

An overview of the Model Context Protocol (MCP) for product team members and stakeholders.

An overview of Retrieval Augmented Generation (RAG) for product team members and stakeholders.

An overview of AI agents for product team members and stakeholders.

An overview of prompt optimization using meta prompting for product team members and stakeholders.

An overview of prompt engineering for product team members and stakeholders.

Introducing a new feature to increase orders via the Starbucks® mobile app

How to write Product Requirements Documents (PRDs) faster using templates and AI. Key Takeaways Strong PRDs give teams clarity, allowing them to execute faster and deliver better outputs. Templates give product managers more time to focus on what matters most—understanding users, setting direction, and making better decisions. While AI tools can accelerate drafting, iteration, and review, human judgment is still necessary to ensure PRDs are aligned with the specific customer

Creating an enhanced AI-assisted workflow to conduct data analysis on Airbnbs in NYC.

Assigning scores to wines by implementing machine learning algorithms to evaluate the factors influencing wine quality.

Detecting potential credit card fraud by deploying machine learning algorithms to analyze transaction data.

Exploring the impact of location and museum type on museum revenue in the United States.