Shubham Goyal

I am Shubham Goyal, a B.Tech Computer Science student at Jaypee Institute of Information Technology (2022–2026) with a strong foundation in software development, deep learning, and AI. My academic journey has been complemented by hands-on experience in research and development, particularly in leveraging technology for problem-solving. As a Research Intern at the Directorate of Research, Innovation, and Development (DRID), JIIT Noida, I conducted research on e-sports and stress management for differently-abled individuals. During this time, I developed a game recommendation system aimed at improving mental well-being through interactive gaming solutions.

I have worked on multiple projects that reflect my technical expertise and problem-solving abilities. One of my key projects is Autism Detection using Deep Learning, where I built a deep learning model utilizing Vision Transformers and ResNet to classify brain MRI images for autism detection. By implementing advanced preprocessing and feature extraction techniques, I achieved high accuracy in classification. Another project I developed is Trip Trekker, an itinerary planner that leverages Dijkstra’s Algorithm to optimize daily travel schedules and suggest attractions, enhancing the travel experience. Additionally, I created an AI Chatbot using ReactJS, NodeJS, and the Gemini API, which enhances user interaction by providing instant support and information.

My skill set includes Python, C, C++, HTML, CSS, JavaScript, PHP, MySQL, NumPy, Pandas, and Matplotlib, along with strong problem-solving abilities. I thrive in strategic execution, networking, and leadership roles, and I am always eager to apply my knowledge to real-world challenges.