I am currently pursuing a Bachelor's degree in Information Technology at CBIT, with a diploma background in Computer Science. I’m passionate about web development, data science, and exploring real-world applications of AI and machine learning. I have hands-on experience with HTML, CSS, JavaScript, Python, and tools like Git and VS Code. I'm actively building projects to strengthen my skills and recently joined the "Summer of AI" program to dive deeper into LLMs and emerging AI technologies. I'm always eager to learn and looking for opportunities to collaborate, grow, and contribute to meaningful tech solutions.
Engaged in learning and applying concepts related to Large Language Models, prompt engineering, and autonomous agents. Collaborating with a community of AI learners to build real-world AI solutions.
Attended a hands-on student workshop on building AI-powered chatbots using Flask and OpenAI APIs. Implemented backend logic and integrated the chatbot with a simple UI.
Collaborated with a team to solve a real-world problem during the national-level SIH event. Developed a tech solution within strict deadlines while learning teamwork and rapid prototyping skills.
Led a team of 9 in building a Credit Card Fraud Detection System using Random Forest. Handled task delegation, integration of Python, Machine Learning, and HTML, and ensured timely project delivery.
Currently pursuing bachelor's degree focused on web development, data science, and core IT concepts.
Completed diploma with hands-on projects and foundational knowledge in programming and databases.
Completed schooling with distinction; built strong foundation in mathematics and science.
A responsive personal portfolio to showcase my education, skills, and projects. Built using HTML, CSS, and minimal JavaScript. Hosted and maintained on GitHub.
View ProjectA basic chatbot application developed during a Microsoft AI Workshop. It uses Flask, OpenAI API, and integrates with a simple frontend to provide interactive responses.
View ProjectA Python-based weather application built with Tkinter and OpenWeatherMap API. Features include real-time weather updates, custom UI styling, weather icons, search history, and a Celsius/Fahrenheit toggle.
View ProjectA machine learning project that predicts house prices based on various features such as location, size, and amenities. Built using Python, Scikit-learn, and Jupyter Notebook.
View ProjectPowered by Formspree