EEG-RAG is a Retrieval-Augmented Generation (RAG) system specifically designed for electroencephalography (EEG) research. It enables researchers, clinicians, and data scientists to ask natural language questions about EEG literature and receive evidence-based answers with proper citations.

gpu-computing lang-python nlp-tools status-experimental ai-ml-portfolio scope-enterprise framework-numpy framework-pandas framework-huggingface framework-pytorch framework-scikit-learn ai-ml-portfolio-rag gpu-deep-learning gpu-rag gpu-nlp gdl-bio-neuro

• Updated Jul 8, 2026
• Python

An optimized implementation of the Kimi Linear architecture - a hybrid linear attention mechanism outperforming traditional full attention.

gpu-computing status-active lang-python ai-ml-portfolio status-stable scope-small framework-numpy framework-matplotlib framework-pandas framework-huggingface framework-pytorch gpu-deep-learning gpu-llm

• Updated Jun 13, 2026
• Python

A comprehensive toolkit for developing and benchmarking compression algorithms specifically designed for neural data streams in brain-computer interfaces (BCIs). This project provides efficient, real-time compression solutions that preserve the critical characteristics

gpu-computing status-active lang-python ai-ml-portfolio status-stable scope-medium framework-numpy framework-matplotlib framework-pandas framework-huggingface framework-pytorch framework-scikit-learn framework-cuda ai-ml-portfolio-ml gpu-scientific gpu-deep-learning gdl-bio-neuro

• Updated May 19, 2026
• Python

This project demonstrates a comprehensive machine learning pipeline with examples of supervised, unsupervised, and semi-supervised learning approaches. It serves as a template and learning resource for ML practitioners.

gpu-computing status-active lang-python ai-ml-portfolio scope-medium value-educational framework-docker framework-numpy framework-matplotlib framework-pandas framework-plotly framework-pytorch framework-scikit-learn framework-tensorflow ai-ml-portfolio-ml gpu-deep-learning

• Updated May 19, 2026
• Python

(NeurIPS 2025), Compact CNNs for EEG decoding: response time prediction and behavioral assessment using competition starter kit infrastructure with custom normalization and training strategies using the Healthy Brain Network (HBN) EEG dataset

gpu-computing status-active lang-python ai-ml-portfolio status-stable scope-enterprise framework-numpy framework-matplotlib framework-pandas framework-plotly framework-pytorch framework-scikit-learn ai-ml-portfolio-ml gpu-deep-learning gdl-bio-neuro

• Updated May 19, 2026
• Python

A curated collection of prompts for Claude AI, organized by category and use case.

status-active lang-other ai-ml-portfolio status-stable scope-small gpu-deep-learning

• Updated May 19, 2026

A stunning single-page portfolio showcasing my work as a Python Developer, AI/ML Engineer, and Full-Stack Web Developer.

personal-site portfolio personal-website portfolio-website portfolio-site ai-ml ai-ml-portfolio

• Updated Sep 28, 2026
• TypeScript

Brain-Forge is an advanced brain-computer interface system that combines cutting-edge neuroimaging technologies to create comprehensive brain scanning, mapping, and simulation capabilities. The platform integrates multi-modal sensor fusion, real-time data processing, and neural simulation to enable unprecedented understanding and modeling of brain

iot gpu-computing status-active lang-python status-finished ai-ml-portfolio scope-medium framework-docker framework-numpy framework-pandas framework-plotly framework-pytorch framework-scikit-learn framework-cuda framework-kubernetes ai-ml-portfolio-ml gpu-scientific gpu-deep-learning gdl-bio-neuro

• Updated May 19, 2026
• Python

QuantumForge is an open-source framework that revolutionizes quantum chemistry calculations by combining the power of GPU acceleration, deep learning, and density functional theory. Built for researchers who demand both accuracy and performance.

gpu-computing lang-python status-experimental ai-ml-portfolio scope-small framework-docker framework-numpy framework-matplotlib framework-pandas framework-plotly framework-pytorch framework-scikit-learn framework-cuda ai-ml-portfolio-ml gpu-scientific gpu-deep-learning gsc-quantum

• Updated May 19, 2026
• Python

The Internet of Space Things (IoST) is a revolutionary platform that brings Internet of Things (IoT) concepts to space exploration, specifically designed to support human spaceflight missions. This project creates an intelligent, interconnected ecosystem of sensors, communication systems, and AI-driven analytics to ensure crew safety,

iot gpu-computing status-active lang-python space-portfolio ai-ml-portfolio status-stable scope-small framework-docker framework-numpy framework-pandas framework-pytorch framework-scikit-learn framework-tensorflow ai-ml-portfolio-ml space-portfolio-orbital gdl-space-ai gpu-deep-learning gds-space-ops

• Updated Jul 20, 2026
• Python

A project to build GPU acceleration for LLaMA models on local computers and AWS, leveraging GPU resources for efficient inference and training.

gpu-computing status-active lang-python generative-ai gpu-inference ai-ml-portfolio scope-medium framework-numpy framework-matplotlib framework-pandas framework-huggingface framework-pytorch framework-scikit-learn framework-cuda ai-ml-portfolio-llm gpu-scientific gpu-deep-learning gpu-llm

• Updated May 19, 2026
• Python

An AI-powered system for analyzing James Webb Space Telescope images to identify artificial structures, Dyson spheres, and objects that don't follow standard gravitational rules - potential indicators of intelligent extraterrestrial life.

gpu-computing status-active lang-python ai-ml-portfolio scope-large framework-docker framework-numpy framework-matplotlib framework-pandas framework-plotly framework-pytorch framework-scikit-learn framework-tensorflow framework-cuda ai-ml-portfolio-ml gpu-scientific gdl-space-ai gdl-anomaly-detect gpu-deep-learning

• Updated May 19, 2026
• Python

A comprehensive collection of GPU kernel examples demonstrating essential parallel computing techniques for modern GPU programming. This project supports both NVIDIA CUDA and AMD ROCm platforms, focusing on the most in-demand GPU programming skills required in industry today.

gpu-computing status-active lang-other ai-ml-portfolio status-stable scope-medium value-educational gpu-scientific gpu-deep-learning gpu-rocm gsc-cuda-kernel

• Updated May 19, 2026
• Makefile

A carefully engineered full-stack JavaScript development workspace featuring traditional IntelliSense and autocomplete capabilities without AI code generation or assistance.

status-active framework-nodejs lang-javascript framework-react ai-ml-portfolio status-stable scope-small gpu-deep-learning

• Updated May 19, 2026
• JavaScript

A high-performance C++ application for generating 3D point clouds from stereo camera images using GPU acceleration (CUDA for NVIDIA or HIP for AMD GPUs).

computer-vision hpc gpu-computing status-active status-finished lang-cpp ai-ml-portfolio scope-medium framework-docker framework-cuda gpu-scientific gpu-vision gpu-deep-learning gpu-rocm

• Updated May 19, 2026
• C++

This repository contains experimental quantum computing algorithms and simulations for cutting-edge research applications including medical genomics, cosmology, and quantum machine learning.

gpu-computing lang-python status-experimental ai-ml-portfolio scope-small framework-numpy framework-matplotlib framework-pandas framework-plotly framework-pytorch framework-scikit-learn framework-tensorflow ai-ml-portfolio-ml gpu-scientific gpu-deep-learning gsc-quantum

• Updated Jun 18, 2026
• Python

AdaAttn is a GPU-native attention mechanism that dynamically adapts both numerical precision and matrix rank at runtime, reducing memory bandwidth and computational overhead in large language models without sacrificing model quality. By aligning linear algebra operations with modern GPU hardware characteristics.

gpu-computing status-active lang-python ai-ml-portfolio status-stable scope-small framework-docker framework-numpy framework-matplotlib framework-pandas framework-huggingface framework-plotly framework-pytorch framework-scikit-learn framework-tensorflow framework-cuda ai-ml-portfolio-ml gpu-scientific gpu-deep-learning gpu-llm

• Updated May 19, 2026
• Python

Agent-MCP is a framework for creating multi-agent systems that enables coordinated, efficient AI collaboration through the Model Context Protocol (MCP). The system is designed for developers building AI applications that benefit from multiple specialized agents working in parallel on different aspects of a project.

status-active lang-typescript ai-ml-portfolio status-stable scope-large gpu-deep-learning gdl-agentic-ai

• Updated May 19, 2026
• TypeScript

A comprehensive Python-based machine learning platform for real-time seismic event detection, analysis, and classification. This system integrates with authoritative seismic data sources (USGS and IRIS) to provide intelligent earthquake monitoring and analysis capabilities.

gpu-computing status-active lang-python status-finished ai-ml-portfolio scope-small framework-docker framework-numpy framework-matplotlib framework-pandas framework-plotly framework-scikit-learn framework-tensorflow ai-ml-portfolio-ml gdl-anomaly-detect gpu-deep-learning gsc-physics-sim

• Updated May 19, 2026
• Python

A specialized compression and interface layer that enables Apple's BCI HID technology to work more efficiently with existing BCI compression algorithms, focusing on low latency and high signal quality.

gpu-computing status-active lang-python status-finished ai-ml-portfolio scope-small framework-docker framework-numpy framework-matplotlib framework-pandas framework-pytorch framework-scikit-learn framework-tensorflow framework-keras ai-ml-portfolio-ml gpu-deep-learning gdl-bio-neuro

• Updated May 19, 2026
• Python