interests
ML/Cloud Engineering
2019 - present
Specialized in distributed training of large transformer models and scalable data pipelines. Proficient in technologies such as Apache Spark, Dask, and Kubernetes (K8s) for building robust, scalable machine learning infrastructures in cloud environments.
Machine Learning
2014 - present
I am interested in our understanding of the inherent effectiveness of deep learning systems. Special interests: disentangled representations, causal learning, topological methods, neural machine translation, voice synthesization.
Pure Mathematics
2019 - present
Group theory, category theory, algebraic topology, mathematical physics (Einstein field equations), type theory.
Android Platform
2010 - 2016
Started programming for Android in 2010. Over the course of six years, I've built dozens of apps, as well as contributed to open source projects on GitHub - which are now part of several Android apps published to the Google Play Store.
Game Development
2011 - 2014
Created several multi-platform games with notable interests in pathfinding algorithms (Dijkstra's algorithm, A*) and diffuse shading (how objects reflect light).
Neuroscience
2020 - present
Neurodegenerative diseases (Alzheimer’s, Parkinson, Multiple sclerosis), affective neuroscience, neural correlates of consciousness.
Work Experience at
