B.Tech Computer Science & IT Undergraduate
B.Tech Computer Science & IT undergraduate with hands-on experience building machine learning systems in Python, including a content-based movie recommendation engine and an NLP-driven email spam classifier.
IBM SkillsBuild
Completed structured training in Generative AI fundamentals, Large Language Models (LLMs), foundation models, Prompt Engineering, and Responsible AI, including bias mitigation, ethical design, and safe AI deployment.
B.Tech, Computer Science & Information Technology
Expected 2027
CGPA: 8.1/10.0
Developed a content-based movie recommendation engine in Python using cosine similarity over vectorized feature representations. Built a multi-attribute feature extraction pipeline using genre, cast, crew, and keyword metadata, with data cleaning and text preprocessing.
Built a binary NLP classification pipeline in Python using text preprocessing, TF-IDF vectorization, and a Naive Bayes classifier to distinguish spam from legitimate emails. Evaluated performance using accuracy, precision, recall, and F1-score.