Satarupa Deb

Developed a robust program in Python to calculate the number density of Argon plasma and compare the variation across different temperatures and energy levels. Optimized the existing code for calculating the mole fraction of plasma. Researched various technical implementations for finding the Saha ionization equation for oxygen plasma. Assisted with preparing project-related reports, presentations, and manuscripts.

Conducted comprehensive research on the utilization of Fast Healthcare Interoperability Resources (FHIR) in conjunction with large language models in Anamnesis.ai. Utilized the Llama-2-chat-hf-7b model to implement Retrieval-Augmented Generation (RAG) for summarizing doctor-patient conversations, enhancing data comprehension and accessibility. Improved the existing codebase for SciCookie and enhanced the project documentation on PyPI. Produced detailed documentation elucidating project procedures and documenting ongoing progress, ensuring clarity and facilitating team collaboration.

Crypto-currency sentiment analysis: Led real-time data scraping from Twitter to gather cryptocurrency-related tweets. Utilized Natural Language Processing (NLP) and RoBERTa-based model to classify tweets into negative, neutral, or positive sentiments. Conducted in-depth analysis and visually represented sentiment scores against the number of tweets for valuable insights. Participated in workshops and presentations related to projects to gain knowledge.

Courses: Operating Systems, Data Structures and Algorithms, Design and Analysis of Algorithms, Machine Learning, Computer Networking, Databases, Cloud Computing, Graph Theory, Compiler Design, Automata, Computer Organization and Architecture, Data Mining, Software Testing, Linear Algebra, Calculus