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MidnightShark

Research Interests

Areas I'm actively exploring, learning about, and building toward. These interests shape the projects I take on and the questions I pursue.

Artificial Intelligence

Exploring the foundations of machine learning, neural architectures, and the boundary between symbolic reasoning and statistical learning. Interested in understanding how intelligent behavior emerges from simple computational rules.

Key Topics

Machine Learning FoundationsNeural NetworksSymbolic AIComputational Intelligence

Quantum Computing

Hands-on exploration of quantum computation through IBM Quantum Cloud. Studying quantum gates, entanglement, and the potential of quantum algorithms to solve problems beyond classical reach.

Key Topics

Quantum CircuitsQuantum AlgorithmsQuantum Error CorrectionIBM Quantum Platform

Systems Programming

Building an understanding of how software interacts with hardware. Focused on memory management, operating system internals, and writing performant code in C and C++.

Key Topics

Operating SystemsMemory ManagementCompilersLow-Level Optimization

Open Source & Software Engineering

Contributing to and learning from open-source projects. Interested in software architecture, developer tooling, and how large-scale collaborative software gets built and maintained.

Key Topics

Software ArchitectureDeveloper ToolsOpen Source ContributionCode Quality

Publications, experiment notes, and research papers will appear here as they are completed. This section is designed to grow over time.