• Led weekly discussion/recitation sections to teach students fundamental C++, software design principles, data structures, and object-oriented programming practices• Held office hours to provide students with personalized assistance on course concepts, daily lessons, and Machine Problems• Coordinated with fellow course assistants and professors to design an optimal learning experience for over 1100 students

• Implemented and automated a comprehensive address validation solution across IGS databases by utilizing RESTful APIs, precise latitude/longitude coordinate matching, and robust data pipelines to streamline integration• Managed customer data accounts and conducted user testing in IGS Dashboard and OnTimeParts site, ensuring efficient user authentication processes

• In an Agile team of engineers, created backend financial data retrieval mechanism for an active conversation bot using SQL• Collaborated with corporate client to research and develop a knowledge graph-based retrieval implementation using Python• Tested novel context retrieval method with minimal context loss against current recursive decomposition method using question/answer pairs

• Conducted Natural Language Processing-based research project under Dr. Yuan Luo PhD• Tracked long-COVID(PASC) symptoms among cancer patients using a dataset of COVID-related tweets using unsupervised dynamic topic modeling.• Analyzed tweets from the beginning of 2020 to track societal, health, and political beliefs related to the pandemic and its effect on cancer treatments using a BERT word-embedding model and Natural Language Processing (NLP) techniques• Published 2-page abstract for submission at American Medical Informatics Association (AMIA) Summit

Learned and effectively used SQL against Rush’s patients’ database to extract relevant information for executive dashboards using Business Objects and Tableau

Created Python algorithm and used publicly available data to mine for mask manufacturers and facilitate donations to local hospitals and retirement homes