My programming journey began when I was 16 years old, learning Python at school. I learned the basics of Python and MySQL in the final two years at school.
During the vacation after graduating from school, I learned the basics of HTML, CSS and Javascript and made this portfolio website.
I learned Pandas, Seaborn and Matplotlib from the Data Analysis with Python course from FreeCodeCamp.
In the first two years of college, I built a strong foundation in programming by learning C, Java, and SQL. During my third year, I applied my skills by developing several projects — including REMS, PC Builder, and EcoSync — using HTML, CSS, Node.js, and MongoDB. I also became proficient in using Git and GitHub for version control and learned how to host websites and databases. Additionally, through my honors courses, I gained a solid understanding of the fundamentals of AI and machine learning theory.
During my internship, I gained hands-on experience with real-world company procedures and development practices. I worked on two distinct projects — one involving the MEARN stack, where I explored full-stack web development, and another focused on AI/ML using Python, which allowed me to apply foundational machine learning concepts. Additionally, I contributed to a separate task involving data preprocessing, where I classified resumes into distinct categories to support the training of a resume classification AI model.
Programming languages, frameworks and tools I am proficient in: