- Created a package 2000+ lines of code to migrate proprietary software from C to Python, enabling revenue forecasting and enhancing compatibility with AWS S3, AWS Redshift, and DBeaver.- Improved internal data manipulation scripts by converting and refactoring 1800+ lines of code. Developed modular functionality, increasing conversion efficiency by 10-fold.- Formulated concepts to develop an API to store, fetch, and train an LLM for an augmented reality headset using LLAMA 2 and AWS S3; to be deployed with Unity, Docker, and Kubernetes and hosted on AWS EC2.

- Built and integrated Customer Relationship Management system on Salesforce, and developed a workflow for accessing, updating, and analyzing existing and incoming donor entries. Used internally by 4 teams and successfully invoked 20,000+ queries. Reduced data access time by 5X and enabled data visibility.- Used Pandas for cleaning and identifying data for 5000+ contacts and donation entries. Reduced data processing time by 400% compared to previous softwares. - Created and maintained a database for internal and external research data on prison rehabilitative programming, storing information about 350 cases of inmate rehabilitation and recidivism.

- Researched 50+ sub-smid-cap companies, including IPOs, regarding companies’ fundamental metrics.- Collaborated with analysts of the US Growth Equities Team to test several consumer discretionary products, ensuring quality of product from a consumer’s viewpoint.