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.

A comprehensive industrial automation platform demonstrating integration between machine vision systems, industrial robots, PLCs, and quality control systems for modern manufacturing applications.

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

This project visualizes NEXRAD radar data, state boundaries, and street maps using OpenLayers and TMS layers. It overlays hazard markers and supports interactive map controls, integrating external tile services and AJAX-based data loading.

A comprehensive geospatial analysis and visualization platform for Mars exploration data, integrating NASA's Mars datasets, USGS planetary data, and advanced AI/ML techniques for terrain analysis, landing site selection, and mission planning support.

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,

Enterprise-grade Retrieval-Augmented Generation system with autonomous agent capabilities

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.

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-Accelerated Brain Image Processing Pipeline for OpenNeuro Datasets

Lightweight, extensible Brownian dynamics toolkit for nanoparticles and proto-nanorobotics NanoSimLab provides accessible tools for simulating and analyzing nanoparticle systems using Brownian dynamics, with a focus on nanorobotics research and development. The toolkit runs out-of-the-box with NumPy/SciPy and offers seamless integration.

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.

Rust-based embedded satellite communication system implementing for real-time space communications. This project features a complete satellite-ground architecture with multi-band RF communication, CCSDS protocol compliance, and deterministic real-time performance using Embassy async runtime.

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.

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.

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).

A comprehensive Python-based simulation environment for First Lego League competitions, featuring realistic robot physics, interactive game maps, and mission scenarios.

Release Pilot is a sophisticated showcase project that exemplifies professional software development and release management capabilities through a real-world microservices application. Built with modern technologies and enterprise-level practices, it demonstrates mastery of release engineering, site reliability engineering, and DevOps methodologies

Python project to experiment with bounded spacecraft motion near the binary asteroid system Moshup-Squannit (1999 KW4), inspired by RF3BP pulsating-rotating formulations.

AEGIS-SE is a comprehensive defense systems engineering suite designed to demonstrate cutting-edge software engineering capabilities for Department of Defense applications at Eglin Air Force Base. This project serves as a proof of concept and technology demonstrator for the Software Engineering Institute (SEI) Advanced Deterrent group