My Experience

Build and fine-tuned LLM-based agentic applications for privacy-centric use cases. Contributed to the development of scalable AI pipelines in a fast-paced startup environment. Utilized various tools such as NER, LLMs to accelerate model development and deployment.

Contributed past year course materials for a new course (Design Research) to a widely-used IIITD repository, enhancing resources for thousands of students. Ensured proper formatting and categorization of materials to improve accessibility and usability for exam preparation. Submitted and successfully merged a pull request (PR #44), marking my first contribution that got merged in main. Collaborated via GitHub, adhering to the project's contribution guidelines and standards.

Mastered advanced data analysis and machine learning techniques including logistic regression, random forest, and decision trees. Demonstrated proficiency in data preprocessing, feature engineering, and model evaluation through hands-on projects with real-world datasets, developing predictive models that deliver actionable business insights.

Selected from thousands of global applicants for IBM's prestigious quantum computing program. Successfully completed 4 advanced quantum computing tasks using IBM's cloud quantum computers, demonstrating practical applications of quantum algorithms and quantum machine learning.

Demonstrated proficiency in core AI concepts, machine learning principles, and practical applications. Gained hands-on experience with IBM Watson AI Studio, developing AI-powered solutions and understanding enterprise AI implementation strategies.