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Master of Science (M.S.), Computer Science

Bachelor of Science (B.S.), Computer Science

• Early Research Scholar
• Regents Scholar
• College of Engineering Honors
• Dean's Honors

Software Development Engineer Intern

• Elastic Container Service Team.

Software Engineering Intern

• Delivered algorithms to gather and format various metadata for 1000s of artist sites into well-structured responses, improving data collection times by up to 1,500%.
• Enhanced recommendation system efficiency by 380% through profiling, statistical analysis, and intelligent approximations.
• Contributed to 15 API endpoints, including a subdomain generation tool using OpenAI’s API and Cloudflare with caching for accelerated recall.
• Established a scheduling software to automate updates for 3 user-relevant datasets with queuing to minimize system stress.

Data Structures and Algorithms, Undergraduate Learning Assistant

• Conducted office hours for over 100 students, provided support regarding homework, exams, and programming problems.
• Graded 800 assignments and administered 2 exams, ensured students understand complex, challenging concepts.
• Corresponded with the teaching team to ensure optimal student learning and manage course pace.

Fullstack Software Engineering Intern

• Assisted the launch of Yopp, a financial wealth aggregation application, with a focus on user experience and interface.
• Designed an ease-of-use platform for simple addition and relevant analysis with React Native and TypeScript.
• Optimized data writing and retrieval by up to 80% through NoSQL database management.
• Engineered secure serverless functions to retrieve financial data from external entities via RESTful APIs, leveraging Node.js and Firebase Cloud Functions.
• Communicated closely with the oversight team to ensure quality control and align design with strategic objectives.

Improving Bounds for Randomly Sampling Graph Colorings

• Work to improve (11/6 − ϵ) bound using Markov chain Monte Carlo and linear programming.

Targeted Edge Perturbations on GNNs

• Approximate the robustness of 5 graph neural network architectures to edge perturbations, contrast results to adversarial attack responses.
• Evaluate the effectiveness of 4 heuristic approaches to maximize edge additions while preserving model accuracy.
• Invented a two-part greedy-primed gradient attack by analyzing graph characteristics and extensive literature reviews.

GraphEval36K - Benchmarking Reasoning Capabilities of LLMs on Graph Datasets

• Accepted to NA ACL.
• Collected 20 undirected graph problems with a varying degree of difficulty, structure, and intended algorithms.
• Generated the first extensive graph dataset of 2000 test cases for 12 different graph categories with NetworkX.
• Prompted 160 solutions across 8 LLMs, while measuring performance on test cases and categories.

Leadership Committee

• Coordinate and plan weekly events, meetings, and dinners; ensure all resources are supplied

8th Grade Math Volunteer

• Led a group of five or more students down paths to accomplish classwork and review homework.
• Provided support for instructor of under-performing class through individualized, targeted instruction.

Open House Assistant

• Met with prospective students about experience as a Computer Science major and Regents Scholar.