• Led full-stack Python development for a cross-functional team integrating data science and ML workflows, building ETL pipelines to parse client applications into SQL Server and deliver calculated risk metrics for underwriters at a life insurance firm

• Built a full-stack web interface enabling data scientists to visualize and modify SQL Server table dependencies as a directed acyclic graph, streamlining variable management and updates without manual SQL queries

• Integrated ChatGPT API into product, enabling file search, vector embeddings, and threaded conversations with a visual interface for seamless user interaction

• Built and maintained a dynamic website featuring an efficient backend job queue system, interfacing with an HPC server to process user-submitted tasks with optimal speed

• Sole developer and product manager overseeing end-to-end development and maintenance of computational biology

web tools, ensuring seamless functionality and user satisfaction

• Translated metagenomic research into user-friendly, no-code, accessible tools on a web platform, easing access to advanced analytics for non-coding biologists

Completed dedicated research towards advancing the field of medical technology and machine learning applications in radiology and healthcare. Work included:

• curating and analyzing radiological datasets, following principles outlined in Timnit Gebru's paper “Datasheets for Datasets”

• contributed to the published article “Networking Research Innovations for Telesurgery: A Systematic Review” where we explored cutting-edge developments in telesurgery and their impact on healthcare

• Generated custom SQL queries to ascertain key factors influencing consumer retention on insurance products with PostgreSQL

• Developed full stack test protocol for a website entry form, using Tornado Web Framework, Python, HTML/CSS, Javascript, and MongoDB to test how customers access and enter information on website

• Automated Excel insurance bordereau data file merging with Python to consolidate all consumer engagement activities into one file

Interned in Life Cycle Management, Rare Diseases, Global Medical Affairs. Completed a systematic literature review discussing the role of lyso-Gl-3 as a biomarker for Fabry disease. Engaged in company and investigator sponsored studies in activities like funding studies for natural history of rare diseases, immune response, biomarkers, diagnostic methods, predictive factors for disease severity, and drug efficacy.