Building
Intelligent
Systems.
I am Vedant, a Computer Engineering student researching machine learning behavior and engineering low-level software utilities for MCP environments.
Explainable
Mechanics.
My work begins at the intersection of mathematical theory and systems implementation. I prefer projects where mechanics are visible, behavior is explainable, and architecture is intentional.
Selected Projects
Glassbox is a neuro-symbolic search engine that uses operation neural networks to discover mathematical equations directly from data. By enforcing algebraic structure during training, it ensures that output models are inherently interpretable rather than black-box approximations.
View RepositoryA specialized knowledge management library engineered for Large Language Models. It implements a persistent, searchable memory layer for MCP-capable agents, allowing for long-term context retention and structured research retrieval without token-drift.
View RepositoryA minimalist utility built in Go engineered for practical, daily developer use. It focuses on low latency, rigorous error handling, and a zero-dependency deployment model to solve immediate terminal-based workflows.
View RepositoryBased in the intersection of theory and deployment. Open for discussion on systems programming, neuro-symbolic research, and well-designed tooling.