Research & Academia
Exploring AI/ML through research and practical implementation
Currently focused on understanding cutting-edge AI/ML concepts through research papers, with a particular interest in functional programming approaches to machine learning problems and GPU-accelerated computing for high-performance AI workloads.
Research Interests
Exploring deep learning architectures, neural networks, and AI systems with focus on practical implementations and theoretical understanding through research papers.
GPU programming and parallel computing for accelerating AI workloads, with interest in optimizing machine learning algorithms for high-performance computing environments.
Investigating functional programming paradigms applied to machine learning problems, exploring languages like Haskell, Rust, and Go for building robust ML systems.
Publications
My citations can be found on Google Scholar.
Research paper publication coming soon
Currently in early stages - paper expected to be published soon
Current Research Work
AI/ML Research Paper Analysis
Systematically reading and implementing concepts from cutting-edge AI/ML research papers, focusing on understanding theoretical foundations and practical applications.
Functional Programming for ML Systems
Exploring how functional programming paradigms can be applied to build more robust and maintainable machine learning systems using Haskell, Rust, and Go.
Open Source Organization Collaboration
Currently working with an amazing team at Cogatimus to build innovative open source tools and projects that push the boundaries of what's possible.