- Designed and implemented a modularized evaluation pipeline for large language models, resulting in a significant enhancement and a substantial reduction in evaluation runtime, optimizing resource utilization and improving overall efficiency for all research scientists - Pioneered the curation of a comprehensive collection of Java repositories with abundant test cases to conduct LLM execution-based evaluations; leveraged GitHub API and Docker containerization to efficiently scale the dataset and facilitate rigorous model testing.

- Spearheaded system test applications development in React Native containing instances ofall properties and callback functions to lay a foundation for automated framework testing- Optimized test applications to serve as reference for all third-party developers with respectto both UI and underlying code organization, collaborating with a product managementteam to satisfy UI requirements for demo applications shown to other developers- Exposed numerous bugs during system test application development and effectivelycommunicated with developers to resolve apparent shortcomings before product launch

- Organized targeted research on the work of various Distinguished Research Professors to contribute to literature reviews for research conducted by the portfolio management team.- Compiled and summarized research through the examination of articles involving topics such as empirical generalizations of long-term marketing impacts, factors that impact firm value, experiential learning for entrepreneurs, and large-scale social network data collection.

- Served ice cream, beverages, and pastries offering positive customer service.- Maintained store cleanliness and appearance- Aided in food storage and preparation

- Formulated weekly, monthly, and annual social media reports to evaluate growth to the preceding time period that identified trends in engagement patterns while also providing insights into pivotal variances in performance resulting from implementing new strategies.- Developed future marketing strategies and KPIs that address current engagement shortcomings through altering post timing and content, while simultaneously generating new targeting strategies that further stimulate consumer engagement and firm growth.- Actively applied modern social media marketing strategies to firm-wide, professional Twitter profile—delivered a 25% increase in follower count, post circulation, and site engagement.

- Analyzed reach, assets, deliverables, and business practices of international film production companies and distributors to establish new targets for client acquisition; constructed in-depth SWOT analyses on each company to explore and convey opportunities for growth- Illustrated and organized the total earnings of 7,884 movies using Microsoft Excel pivot tables and formulas to pinpoint top-performing clients and the success of individual titles across various digital media retailers in the interest of deriving future pricing models

- Designed algorithm to explore trends in speech emotion recognition using machine learning in Python, exploring the effects of altering the implementation of speech features, multidimensional arrays, and ML methods to uncover strategies that optimize SER classifiers- Collected 180 audio clips—live—and utilized the RAVDESS dataset with 768 speech files to train and test the performance of supervised learning methods such as k-Nearest Neighbors, random forest, and the Bernoulli and Gaussian Naive Bayes classifiers- Authored a research paper, reporting key findings, and presented research at regional competitions by constructing multiple deliverables including 10-minute verbal presentations; placed second in the Computer Science category in the 2020 JSHS regional competition