Completed:
A strategic R&D initiative that pioneered the use of diffusion models to generate high-fidelity synthetic data for complex engineering systems, creating a new paradigm for digital simulation and AI training.
Completed:
Pioneered a novel sensor fusion system for Edge/IoT devices, using AI/ML to dramatically improve voice clarity in extreme environments and exploring LLM-based contextual enhancement.
Completed:
Engineered a novel control system using physics-informed neural networks, proving the viability of advanced AI for high-value industrial and commercial applications.
Completed:
Led the end-to-end development of a modern web platform to replace a legacy enterprise system, improving efficiency and removing bloat.
Completed:
An award-winning research project that investigated the critical business risk of data bias in AI, quantifying the performance gap of an English-trained model on unseen languages.
Completed:
Architected a scalable robotics framework to autonomously generate a massive AI training dataset, demonstrating expertise in data engineering and systems integration for machine learning.
Completed:
Prototyped a microservice to provide students with actionable budgeting data by integrating public APIs (Reddit) with federal economic statistics (BLS).