Addrita Biswas

• Developed and evaluated domain-specific prompts to assess the performance of large language models (LLMs) across projects. • Analyzed LLM outputs for scientific accuracy, clarity, and depth in specialized subfields. • Contributed to improving AI understanding of complex topics through expert review and feedback • Conducted independent research to support prompt development and evaluation tasks.

• Completed Google Code Next courses in iOS development and machine learning, gaining hands-on experience with Swift, Xcode, Python, and model fundamentals • Worked through project-based lessons with my SWE mentor, focusing on UI/UX, data handling, and integrating ML concepts into interactive apps • Created a final project called Notifi, a task-notification app built with clean interface design and early-stage ML planning for personalized reminders

• Research and develop marketing strategies for the company expansion to Rochester homecare market • Organize candidate data and tracking spreadsheets applicants for roles including LPM, RNN, HHA • Coordinate recruitment communications and follow-ups with candidates • Support staffing plans and data organization for new market launch • Fully handled social media and contents for branch expansion to Rochester

• Reviewed and edited submissions for each issue's magazine for clarity, grammar, and style. • Worked closely with writers to provide thorough feedback and constructive criticism • Published my own written work under GirlTalk magazine

• Conducted research focused on identifying and studying female leaders in STEM fields. • Compiled comprehensive profiles detailing their backgrounds, achievements, and contributions to their respective fields. • Analyzed and synthesized information from various sources to provide accurate and insightful narratives.

• Developed a web application using Flask, demonstrating proficiency in Python-based frameworks. • Enhanced the NYC DoRIS Intranet website with new features and functionalities. • Shadowed developers to integrate new features effectively and gain practical knowledge. • Applied strong problem-solving skills and attention to detail across various projects.

Accepted with a full year scholarship to Columbia University Youth In STEM program. • Spent two semesters over school year taking courses in Big Data Machine Learning and Statistics. • Engaged in volunteering opportunities at Columbia University Campus • Attended mid-break residency at Morgan Stanley, fostering network opportunities with professionals and engaging in panelist discussions.