A comprehensive overview of my journey in AI, machine learning, and technology leadership.
AI-focused technology student and emerging leader with a strong foundation in AI/ML, Data Science, and Big Data analytics. Currently developing a recommendation engine that ranked in the top 3 among my batch, showcasing innovation and technical excellence. Demonstrated ability to drive efficiency—reducing ideation-to-production time by 20% during my GenAI internship at Siemens—while bridging technical insights with strategic business needs.
CGPA: 9.03/10.00
Relevant Coursework: Machine Learning, Data Engineering & Large-Scale Storage, Data Structures & Algorithms, DevOps & MLOps
Building a sophisticated recommendation system using collaborative filtering and deep learning techniques, achieving 92% accuracy in user preference predictions.
Developed an AI-powered counseling system integrating LLMs to provide personalized academic and career guidance to students.
Created an interactive demonstration of convolutional neural networks using Keras and the MNIST dataset for real-time visualization.
Aug 2024 – Present
Lead cultural initiatives and coordinate multidisciplinary teams to execute high-impact events at the university. Managed a team of 50+ members and organized events with 1000+ participants.
Mar 2024 – Present
Organize technical workshops and community events, fostering collaboration and knowledge exchange among peers. Led 15+ workshops on AI/ML topics.
Oct 2024 – Nov 2024
Directed a team of over 230 participants in a competitive event, achieving top placement and bolstering college representation.
Jun 2023 – Feb 2025
Managed the college's largest tech hackathon in partnership with MumbaiTech & GDG MAD, earning a Guinness World Record for participation.
Scored 740/800, demonstrating outstanding quantitative aptitude and analytical skills. Ranked in the 95th percentile globally.
Recognized for exceptional leadership and technical contributions to the university community. Selected among 500+ students.
Led team to victory in university-wide AI hackathon, developing an innovative solution for healthcare diagnostics.