This project involved designing a clean, intuitive user interface for a mobile productivity application focused on improving task management and daily workflow efficiency. The goal was to create a visually appealing UI while ensuring ease of use, accessibility, and a smooth user experience.

The design process included user research, wireframing, high-fidelity UI design, and interactive prototyping. Emphasis was placed on clear visual hierarchy, consistent typography, color systems, and component-based design to ensure scalability across screens and devices. The final UI was optimized for mobile usability and aligned with modern design standards.

This project highlights my ability to translate user needs and product goals into effective, user-centered interface designs.

This project focused on editing engaging short-form promotional videos tailored for social media platforms such as Instagram, TikTok, and YouTube Shorts. The goal was to create visually appealing content that captures attention quickly and communicates the brand message effectively.

The editing process included cutting and sequencing raw footage, color correction, audio enhancement, motion graphics, subtitles, and transitions to improve viewer retention and overall production quality. Special attention was given to pacing, storytelling, and platform-specific formats to maximize reach and engagement.

This project showcases my ability to transform raw footage into high-impact video content optimized for digital marketing and audience growth.

This project involved designing and implementing an AI powered digital solution to help a business automate marketing processes, improve user engagement, and increase operational efficiency. I developed intelligent automation workflows, integrated AI chatbots for customer interaction, and designed a user friendly mobile and web app interface focused on seamless user experience.

The solution combined artificial intelligence, data driven marketing strategies, and modern app design to support lead generation, customer retention, and performance tracking. The project focused on scalability, usability, and measurable results, ensuring the system could grow alongside business needs. Tools and technologies used included AI models, automation tools, UI UX design principles, and digital marketing analytics.

Designed and developed a mobile application enhanced with AI features to optimize internal business processes. The app automated task management, generated intelligent insights, and improved team productivity through data driven recommendations. Focus was placed on usability, performance, and scalability.

Built a smart lead scoring and CRM automation platform using machine learning to analyze customer behavior, engagement data, and conversion signals. The system automatically ranked leads, triggered personalized follow ups, and integrated with marketing tools to improve sales performance and conversion rates.

Developed an AI powered customer support system to automate ticket classification, response generation, and issue prioritization. The system used natural language processing to understand customer queries and route tickets to the appropriate departments. Automated workflows reduced response time, improved customer satisfaction, and increased support efficiency.