At VIT, my curiosity for AI quickly grew into a passion for building intelligent systems that solve real problems. Starting with strong foundations in math, programming, and electronics, I dove into hands-on projects that fueled my love for machine learning. One early project was a personalized gift recommendation tool using OpenAI’s API, where I designed a sleek web interface to tailor suggestions. This sparked my interest in NLP and user behavior. I then built a startup investment analysis app with SVM, predicting success probabilities from venture capital data, which deepened my skills in data prep and business-driven ML. My research journey led me to author a systematic review on fault diagnosis in electrical instruments, analyzing a decade of ML work and sharpening my critical evaluation skills. The highlight was my Belden Inc. internship, where I helped create a Generative AI chatbot co-pilot with LangChain and OpenAI embeddings, enabling users to explore a massive product catalog intuitively. I also co-founded a campus collaboration portal accepted into Y Combinator Startup School, blending tech with entrepreneurial spirit. Along the way, I gained full-stack development confidence using Django, Bootstrap, and cloud platforms. These experiences strengthened my expertise in Python, PyTorch, TensorFlow, and Scikit-Learn, and taught me the value of clean code, teamwork, and building products people love.