Working on a research project as 1st author in an effort to make LLMs more conversational by giving them the ability to ask follow up questions to coding related prompts.

Tutoring for AUCSC 112 - Data Structures and Algorithms in Java.

1. Co-authored in a research paper (submitted to EMSE 2024) as 3rd author, studying bugs faced by developers using Jupyter notebooks, showcasing technical writing and research skills.2. Created a taxonomy of bugs by studying 300+ Jupyter notebooks from Github repositories using git diff.3. Compiled a dataset of 1000+ Jupyter notebooks from popular data science competitions by writing an automation script in Python (Selenium) that scraped Kaggle.com, demonstrating skills in web technologies, data extraction and handling and problem solving skills.4. Gained insights on the dataset, such as type of bugs faced (using notebook execution logs), notebook execution time, author of the notebook and competition they participated in, showcasing data analysis skills.5. Locally stored 3500+ notebooks by writing an automation script in Python, keeping track of their current and previous buggy versions to later study how the bugs were fixed.6. Fine-tuned an LLM by Microsoft called UniXCoder with a transformer-based architecture to convert jupyter notebook cells to markdown cells and vice versa.7. Presented research project in a university-wide conference called FURCA 2024.