AI-Assisted Developements Projects

During my time developing the Marketing Materials Generator, I utilized Google AI Studio and advanced prompt engineering techniques to build an AI-powered system that transforms simple product descriptions into detailed visual brand guides and high-quality marketing materials. I focused on designing structured and consistent prompts to ensure the generated outputs accurately reflect product identity, including appearance, materials, colors, textures, and branding elements.

I also experimented with different prompting strategies to optimize image generation across various media formats such as social media posts, billboards, and newspaper-style advertisements. This allowed me to understand how prompt structure influences consistency, realism, and creative direction in generative AI outputs.

Through this project, I strengthened my skills in AI integration, prompt design, and product visualization using generative models. It also enhanced my ability to translate business requirements into AI-driven solutions, bridging the gap between product concepts and marketing execution.

Developed an AI-powered meeting agenda generator using Google AI Studio prompt engineering to help users turn unstructured documents into clear, well-organized meeting plans. The platform allows users to upload DOCX, Markdown, or text files, then automatically analyzes the content to generate a structured agenda with meeting objectives, key discussion topics, stakeholder involvement, action items, and suggested time allocations.

I was responsible for the end-to-end development of the project, including designing effective AI prompts, integrating document parsing and agenda generation features, and building a clean, responsive frontend interface using React. I also focused on creating a smooth user experience by adding file upload functionality, adjustable meeting duration controls, real-time agenda updates, and export features. This project demonstrates my ability to combine prompt engineering, AI-assisted development, and user-centered design to build practical productivity solutions for real-world use cases.

Developed an interactive sales analytics dashboard to monitor business performance in real time. The dashboard provides key insights such as total revenue, total orders, average order value, revenue trends, product performance, recent orders, and payment method analysis.

Built with a focus on clean UI/UX and data visualization, this project helps users track sales activity, identify top-performing products, and support better business decisions through clear and actionable insights. It also includes filtering and search features for easier data exploration.

This project demonstrates my skills in dashboard design, frontend development, and building user-friendly data-driven applications using AI-assisted development tools

During my work on Terry’s Trousers, I developed a data-driven Profit Optimization Framework to support better financial decision-making and improve overall business performance. My role involved analyzing sales and return data across key product categories, including Cargo, Denim, and Chinos, to identify revenue leaks that were affecting profit margins.

I built a simulation model to evaluate how operational improvements, such as reducing return rates and improving product quality, could directly impact projected net profit. For example, I analyzed the effect of lowering the Cargo return rate from 36% to a target of 21%, which helped demonstrate the potential increase in net financial projections.

This project allowed me to apply data analysis, financial modeling, and business strategy skills to solve a real operational challenge. It also strengthened my ability to translate data into actionable insights, helping the company move beyond simple sales tracking toward a more strategic, profit-focused approach