Skilled in front-end development, I design and develop visually engaging, high-performance websites with user-friendly, responsive layouts. Proficient in HTML, CSS, and JavaScript, I create interactive user interfaces and effectively troubleshoot technical issues to ensure optimal website performance and enhance the overall user experience.

Developed an interactive, mobile-friendly web interface with Next.js to ensure a seamless user experience across devices and created a travel assistant app using Gemini LLM to generate personalized travel plans based on user preferences and budgets. Integrated Neon PostgreSQL for efficient data management, establishing a robust backend capable of handling real-time queries and user inputs. Additionally, incorporated APIs for location-based services and traffic updates to enhance trip planning accuracy and convenience.

Developed a house price forecasting model using Python and Scikit-Learn's Gradient Boosting Regressor, achieving a Mean Absolute Error of $33,429.72. Utilized Pandas for data cleaning and feature engineering, including price change calculations and StandardScaler normalization to capture market trends. Created a conservative growth algorithm with dynamic decay factors and sanity checks for reliable long-term predictions. Integrated Neon PostgreSQL for efficient data management and a robust backend handling real-time queries. Employed Matplotlib to visualize historical data and future price projections, enhancing result interpretation and presentation.

Designed and built a personal portfolio website using HTML, CSS, and JavaScript to effectively showcase projects and skills. Implemented responsive design principles to ensure consistent performance and appearance across various devices and browsers. Incorporated interactive elements such as animations and hover effects to enhance user engagement and website appeal.