207_darsh Solanki

I’m a Computer Science undergraduate with strong expertise in Data Structures & Algorithms, Full Stack Development, and AI-based systems. I focus on building scalable applications that connect modern web experiences with intelligent ML capabilities.

In a Web Development Intern role at Prodigy Infotech, I optimized front-end components to improve application load time by 20% and built reusable UI components to reduce feature development time. I resolved 10+ cross-browser compatibility issues and integrated RESTful APIs to enable seamless client-server communication while collaborating in an Agile/Scrum environment using Git.

Through my projects, I turn data into usable products. For “Diagnosis AI,” I built and trained a machine learning model achieving 78% accuracy, performed data preprocessing on 1000+ records using Pandas and NumPy, and improved model efficiency with algorithm optimization; for my “AI Healthcare Chatbot,” I implemented real-time conversation flow using React, built backend logic with Node.js/Flask, and integrated an AI model/API for symptom analysis and response generation.

I’m motivated by solving real-world problems using AI and modern web technologies, and I bring a strong CS foundation (OOP, DBMS, Operating Systems, and Ongoing DSA practice) to every build. I enjoy continuously refining performance, usability, and architecture so systems stay efficient and scalable.