I’m an undergraduate computer science student interested in theoretical foundations of computation and their intersection with machine learning. My focus is on problems that require systems level thinking like modeling complexity, understanding the limits of current computational models, and exploring chaotic and probabilistic behaviors in neural networks.

I enjoy building experiments with interesting hypotheses, open-source codes, and well-documented analysis. This space is both my portfolio and my research log.

• Theory of Computing (Automata, Turing, Gödel, Incompleteness)
• Complex & Chaotic Systems in AI
• Mathematics and Proofs of Deep Learning
• Probabilistic and Symbolic Models

• Distributed HPC Infrastructures - can we build a remote cluster HPC server?
• [Chaos in Neural Nets] — exploratory experiments on chaos and randomness in DL.
• [New age of Automata] — experiments training LSTMs and Transformers to learn grammars.
• FET Modeling with DL — ML-based device modeling, GAN augmentation, and benchmarking. (Repo private for now)

Website (Under development): ruasnv.github.io
LinkedIn: linkedin.com/in/ruasnv