Transforming ambitious technical ideas into scalable, efficient software solutions
Independent machine learning engineer and systems architect specializing in quantum computing, AI infrastructure, and scientific computing. Building advanced models and tools across biology, physics, and materials science.
Advanced inference engine optimized for Nexa models across multiple domains including scientific computing, natural language processing, and computer vision. Built for high-performance deployment with GPU acceleration and distributed computing capabilities.
View on GitHubAN all-in-one, session-aware CLI and TUI tool for fine-tuning Hugging Face-compatible models. It makes secure, repeatable, and portable LLM fine-tuning as simple as following a guided workflow—no notebooks, no cloud lock-in, no headaches.
View on GithubDataVolt is an enterprise-grade framework for building and maintaining scalable data engineering pipelines. It provides a comprehensive suite of tools for data ingestion, transformation, and processing, enabling organizations to standardize their data operations and speed up development cycles.
View on GitHubPyC compiler toolchain, explaining its architecture, file roles, features, and potential use cases. PyC aims to compile Python adult-like code into machine code using LLVM, with experimental CUDA integration for GPU acceleration.
View on GitHubAzure Sky Optimizer is a hybrid optimizer for PyTorch, integrating Simulated Annealing (SA) with Adam to provide robust exploration and precise exploitation in non-convex optimization tasks. Designed for complex machine learning challenges, Azure Sky excels in domains requiring deep exploration of rugged loss landscapes, such as scientific machine learning, symbolic reasoning, and protein folding.
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