Resume

Carnegie Mellon University, Pittsburgh, PA

Aug 2020 - May 2024

Graduated with Honors
Relevant Coursework: Generative AI, Machine Learning with Large Datasets, Intermediate Deep Learning, Statistical Computing, Statistical Methods in Finance, AI Problem Representation & Problem Solving

Outlier, Remote

Mar 2024 - Present

Reviewed and verified prompts or responses for math problems ranging from middle school to undergraduate discrete mathematics, ensuring complexity, Markdown/LaTeX formatting, and correctness.
Developed prompt engineering expertise, contributing to the training of foundation models by challenging AI agents with math problems.
Identified errors in collegiate-level math problems and communicated solutions in non-technical terms to peers for better understanding.
Gained valuable insights into LLM limitations as part of training for state-of-the-art reasoning models.

Carnegie Mellon University, Pittsburgh, PA

Jun 2023 - Aug 2023

Led team to design a feasibility report and scalable plan for parallelizing a simulation software on a customized AWS-backed cluster infrastructure.
Researched deploying NetLogo simulations on AWS using EC2, S3 Buckets, and Slurm.

CrafterCMS, Reston, VA

Jun - Aug 2021 & Jun - Aug 2022

Delivered an Alexa API web app in Groovy, used by major enterprises such as Papa Johns, Marriott, and more to boost customer loyalty.
Designed and implemented a TensorFlow-based recommendation system web app.
Analyzed and cleaned data using NumPy, Pandas, and Matplotlib.

Carnegie Mellon Men’s Soccer Team (2020-2023): Dedicated 20+ hours per week while balancing a full academic workload. Earned UAA All-Academic and UAA Offensive Player of the Week Awards.
Student Athlete Academic Award (2022-2023): Achieved highest GPA in respective college as a rising fourth year in the Athletic Department.

Languages: Python, R, PostgreSQL, C, Java
Tools & Frameworks: PyTorch, PySpark, AWS, SKLearn, TensorFlow, NumPy, Matplotlib, Tidyverse, W&B, HuggingFace, TQDM