Year 3

Fall 2025
MLG 10414: Deep Learning Systems
MLG 10417: Intermediate Deep Learning
CS 15418: Parallel Computer Architecture and Programming
CS 15451: Algorithm Design and Analysis
PHY 33104: Experimental Physics

Not sure yet, hopefully get into graduate school and become a quantum king.

Year 2

Fall 2024	Spring 2025
SCS 07300: Research in Computer Science	MLG 10708: Probabilistic Graphical Models
MLG 10315: Introduction to Machine Learning	CS 15210: Parallel Data Structures and Algorithms
CS 15213: Introduction to Computer Systems	CS 15414: Bug Catching: Automated Program Verification
CS 15459: Undergraduate Quantum Computation	CS 15455: Undergraduate Complexity Theory
SDS 88230: Human Intelligence and Stupidity	BUS 70415: Introduction to Entrepreneurship
	SDS 85211: Cognitive Psychology

Founded Quantum Computing Club (QC @ CMU), where we successfully hosted a Qiskit Fall Fest, hosted guest speakers from IBM and PQI and more. Check out our first year review: slides  sponsorship packet

Some notable events were taking Putnam again, and participating in Rotman Market Simulation Challenge x CMU, MIT IQuHacks, and getting invited to Harvard Undergraduate Trading Competition.

Also the following works were completed and published at numerous points throughout the year:

• Five Starter Problems: Solving Quadratic Unconstrained Binary Optimization Models on Quantum Computers
• Quantum Annealing Approaches to Solving the Shipment Rerouting Problems

Year 1

Fall 2023	Spring 2024
CS 15122: Principles of Imperative Programming	CS 15150: Principles of Functional Programming
CS 15151: Mathematical Foundations of Computer Science	CS 15251: Theoretical Computer Science
MA 21242: Matrix Theory	MA 21325: Probability Theory
MA 21295: Putnam Seminar	HIS 79234: Technology and Society
ENG 76102: Advanced First Year Writing	CST 84390: Social Media, Technology, and Conflict

Participated in Fencing Club, ACM @ CMU, Quant Club and Project Olympus.

Some notable events were taking Putnam, attending the Holy Grail Fencing Tournament, winning the "Best Campus Hack" award at HackCMU, placing in Top 15 at Tartanhacks, participating in Optiver's Market Making Game, and making it to the second level of the McGinnis Pitch Competition with NousQuest.

Also the following works were done during the summer before CMU but got published at numerous points throughout the year:

• Benchmarking Metaheuristic-Integrated QAOA Against Quantum Annealing
• Differential Evolution Algorithm based Hyper-Parameters Selection of Transformer Neural Network Model for Load Forecasting
• Comparative Evaluation of Metaheuristic Algorithms for Hyperparameter Selection in Short-Term Weather Forecasting