My Experience

Cornell University – Undergraduate Blockchain Research Assistant | Ithaca, NY
March 2024 – May 2024

• Collaborated with a team of 2 to investigate how consensus protocols and modular architecture of IBM Hyperledger Fabric help the blockchain framework surveil the consistency of product attributes and labor conditions across supply chains
• Programmed and deployed Hyperledger fabric smart contracts for 7+ hours per week on Visual Studio using Golang and Docker to promote the transparency of cotton supply chains
• Documented and coded 7 smart contract functions and 10 different cotton asset types to enable 6 stakeholders of the cotton supply chain to transfer assets between stakeholders, convert asset types, change asset properties, and create new assets

Extern – IgniteXL Remote Extern | Virtual
May 2024 – July 2024

• Conducted in-depth research using platforms like Crunchbase and ZoomInfo to gather data and insights on the industry and performance of 50+ companies, such as compound annual growth rate, funding stages, and regulatory risks
• Prompt-engineered AI tools like Perplexity and Anthropic to brainstorm 15 lead startups that IgniteXL can invest in
• Presented a concise and impactful 4-page venture capital investment summary incorporating research insights and recommendations on Frame Fitness startup company to provide venture capital experts with a prospective investment

National Institute of Standards and Technology – SHIP Intern | Gaithersburg, MD
June 2022 – August 2022

• Updated atomic spectra databases for NIST (National Institute of Standards and Technology) for 7 hours daily by transferring 400+ pages of orbital data to computer-readable formats using Microsoft Excel and Adobe Spark
• Maintained consistency of the data in the spreadsheets by formatting data tables and removing erroneous data entries, enabling them to be utilized for future NASA missions and other sponsored projects
• Retrieved reference material for data compilers and presented the results to the NIST panel of 10 employers

George Mason University – Data Science Intern | Fairfax, VA
June 2021 – February 2022

• Collaborated with a team of 3 members to analyze the correlations between certain keywords and fake websites by programming Python algorithms utilizing regular expressions and Word2Vec on article text to identify 300+ scams
• Compiled data from 500+ COVID-19 scam websites via cross-referencing search engine reports, facilitated the training of supervised data science models, enhancing their accuracy in predicting the legitimacy of websites