Experience
×Computer Science MS w/ ML Focus
Columbia University - SEAS
Computer Science MS w/ ML Focus
Columbia University - SEAS
AI App Dev Intern
iconectiv
Developing an internal Retrieval-Augmented Generation (RAG) system for iconectiv's Common Language Documentation, focusing on enhancing the efficiency of information retrieval and accurate sourcing. This project involves integrating advanced NLP techniques with a user-friendly interface to streamline access to critical data.
AI App Dev Intern
iconectiv
Developing an internal Retrieval-Augmented Generation (RAG) system for iconectiv's Common Language Documentation, focusing on enhancing the efficiency of information retrieval and accurate sourcing. This project involves integrating advanced NLP techniques with a user-friendly interface to streamline access to critical data.
Computer Science BS w/ AI Focus (Highest Honors)
Emory University - CAS
GPA: 3.796/4.0 Honors: Emory CS Department Undergraduate Research Award, Highest Honors, Emory SURE Scholar, Omega Gamma Sigma Activities: Co-Founder/President PROJECT Emory, Co-Founder/Director of Emory Hacks 2025, Emory NLP, Emory Robotics, EUSO
Computer Science BS w/ AI Focus (Highest Honors)
Emory University - CAS
GPA: 3.796/4.0 Honors: Emory CS Department Undergraduate Research Award, Highest Honors, Emory SURE Scholar, Omega Gamma Sigma Activities: Co-Founder/President PROJECT Emory, Co-Founder/Director of Emory Hacks 2025, Emory NLP, Emory Robotics, EUSO
AI Software Engineer Intern
MagMutual Insurance Company
At MagMutual, I developed a Retrieval-Augmented Generation (RAG) system and memo generation system tailored for 10,000+ of legal documents. This project focused on building a robust system that integrates NLP with legal document workflows to enhance document drafting and analysis. I am worked to improve the retrieval accuracy and the backend infrastructure to support the system.
AI Software Engineer Intern
MagMutual Insurance Company
At MagMutual, I developed a Retrieval-Augmented Generation (RAG) system and memo generation system tailored for 10,000+ of legal documents. This project focused on building a robust system that integrates NLP with legal document workflows to enhance document drafting and analysis. I am worked to improve the retrieval accuracy and the backend infrastructure to support the system.
Learning Assistant/CS Lab Rep
Emory University Dept of CS
As an LA for CS326: Analysis of Algorithms, I helped students grasp fundamental concepts and theories by offering clear explanations and practical examples that make complex topics more accessible. Additionally, I assisted with exam preparation by providing strategies for success, reviewed key topics, and reinforced students' understanding of core material, helping them feel confident and well-prepared.
Learning Assistant/CS Lab Rep
Emory University Dept of CS
As an LA for CS326: Analysis of Algorithms, I helped students grasp fundamental concepts and theories by offering clear explanations and practical examples that make complex topics more accessible. Additionally, I assisted with exam preparation by providing strategies for success, reviewed key topics, and reinforced students' understanding of core material, helping them feel confident and well-prepared.
Researcher/SURE Scholar
Emory NLP


At Emory NLP, I collaborated with Hyundai to develop a bilingual RAG pipeline for automotive safety presentations, creating an LLM-centric system to convert slide images into coherent documents. My work and Honors Thesis focused on developing efficient methods for multimodal content analysis, information retrieval, and synthetic data generation using LLMs. I was also selected as a Research Scholar for the Summer Undergraduate Research Experience, receiving a $3500 stipend and presenting my research on synthetic data generation at the 2024 SURE Symposium.
Researcher/SURE Scholar
Emory NLP


At Emory NLP, I collaborated with Hyundai to develop a bilingual RAG pipeline for automotive safety presentations, creating an LLM-centric system to convert slide images into coherent documents. My work and Honors Thesis focused on developing efficient methods for multimodal content analysis, information retrieval, and synthetic data generation using LLMs. I was also selected as a Research Scholar for the Summer Undergraduate Research Experience, receiving a $3500 stipend and presenting my research on synthetic data generation at the 2024 SURE Symposium.
Co-Founder/President
PROJECT Emory


PROJECT Emory is a student-run organization at Emory University that aims to provide students with the resources and opportunities to learn about and engage in software development and build community. As a co-founder and president, I was responsible for leading the organization, organizing events, and managing the executive board and committee. I also served as the director of Emory Hacks 2025, raising $11,000+ and bringing together 70+ students from different universities.
Co-Founder/President
PROJECT Emory


PROJECT Emory is a student-run organization at Emory University that aims to provide students with the resources and opportunities to learn about and engage in software development and build community. As a co-founder and president, I was responsible for leading the organization, organizing events, and managing the executive board and committee. I also served as the director of Emory Hacks 2025, raising $11,000+ and bringing together 70+ students from different universities.
Data Analyst Research Intern
Sonenblum Clinical Research Group
I published research on pressure injury detection using thermal imaging across diverse environmental conditions including lighting, distance, and skin tone, processing over 1600 FLIR thermal images of simulated erythema cases. I created multiple Python scripts utilizing cv2 and flyrpy to extract metadata, align images, and generate binary masks for the regions of interest. These scripts significantly enhanced the efficiency of the research workflow, enabling more effective analysis of thermal images in varied conditions.
Data Analyst Research Intern
Sonenblum Clinical Research Group
I published research on pressure injury detection using thermal imaging across diverse environmental conditions including lighting, distance, and skin tone, processing over 1600 FLIR thermal images of simulated erythema cases. I created multiple Python scripts utilizing cv2 and flyrpy to extract metadata, align images, and generate binary masks for the regions of interest. These scripts significantly enhanced the efficiency of the research workflow, enabling more effective analysis of thermal images in varied conditions.
Automated Web Scraper
Associated Press
I worked with the Associated Press web scraping platform to extract election data from county and state websites. I utilized JavaScript, Python, and Selenium to navigate election pages in order to accurately obtain vote counts and precinct counts from these online sources.
Automated Web Scraper
Associated Press
I worked with the Associated Press web scraping platform to extract election data from county and state websites. I utilized JavaScript, Python, and Selenium to navigate election pages in order to accurately obtain vote counts and precinct counts from these online sources.