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Masters of Science in Computer Science

• Anticipated Thesis: Advancements for Deterministic and Semi-Streaming Correlation Clustering
• Advisor: Prof. Chen Wang

Bachelors of Science in Computer Science

• Coursework: Algorithms (I & II), Graph Theory, Approx. Algorithms, Randomized Algorithms, Linear Algebra

Student Researcher

• Advisor: Prof. Chen Wang
• Working on theoretical complexity and approximation bounds for the Correlation Clustering problem.

Student Researcher

• Advisor: Prof. George Slota
• Worked on random graph generators for minimum chromatic number and maximum cardinality matching.
• Working on random graph generator for maximum weight matching.
• Co-authored and presented findings at CNA 2025, introducing a framework for null model graph generation.

Software Engineer Intern

• Designed and built an end to end event monitoring tool; connecting a flagship product & kubernetes

Software Engineer Intern

• Worked on optimizing client side caching for over 2 billion android devices.

Software Engineer Intern

• Worked on a High-Performance Computing & AI powered file metadata analysis tool for a flagship product.

Undergraduate Mentor for Graph Theory

Framework for Null Model Generators for Distance-1 Coloring and Max Cardinality Matching

ParadiseOS

• Co-Creator and Project Lead — TODO: description

Random Graph Generators

• Project Lead

• Class of 1902 Research Prize, Rensselaer Polytechnic Institute
• Paul A. McGloin Prize, Rensselaer Polytechnic Institute

• Dean's List (x6), Rensselaer Polytechnic Institute