Projects
Selected work & research
A mix of production software, founder projects, machine-learning research, and physics lab work.
Research
Federated FDIA Detection & Localization
Federated learning models that detect and localize false-data-injection attacks on power-grid state estimation.
Graduate research in CSUN's Cyber-Physical Systems (CPS) Lab, training models across distributed nodes to flag — and pinpoint — false-data-injection (FDIA) attacks against smart-grid state estimation, without centralizing sensitive measurement data. Explores graph-based and attention-based architectures for spotting anomalous sensor readings across a network.
Products
Brig Light Art
Full-stack, Stripe-integrated e-commerce storefront for fine-art photography.
A storefront built with FastAPI, Python, and PostgreSQL that syncs product prices, images, and titles directly from database records via the Stripe API. Includes image-resolution downscaling on display to protect original artwork from unauthorized downloads. Operated under Art Ecommerce, LLC.
B2B Lead-Gen Engine
A TypeScript project for sourcing and qualifying B2B leads.
A TypeScript project for sourcing, enriching, and qualifying sales leads — automating the repetitive top-of-funnel work of finding and scoring prospects.
Quant & Trading
Kalshi Trading Bot
Experimental Python bot for Kalshi event-contract markets.
An experimental Python bot that connects to the Kalshi prediction-market API to evaluate event contracts and place trades via the API — part of a broader interest in market data, signals, and algorithmic execution.
pystock
Open-source websocket streamer for free real-time market data.
An open-source project that streams market data over websockets, providing a free, low-latency feed for building trading tools and dashboards.
Academic & Physics
Muon Lifetime Detection
Measuring the mean lifetime of cosmic-ray muons from detector data.
UC Berkeley physics lab project: developed Python pipelines to calculate the mean muon lifetime from large detector datasets, applying noise reduction and statistical methods with NumPy, SciPy, and Pandas, and visualizing results with Matplotlib.
Carbon Dioxide Laser Spectroscopy
Calibration and analysis of CO₂ laser energy-level transitions.
UC Berkeley physics lab project: evaluated specific atomic energy-level transitions of carbon dioxide to develop precise calibration techniques, visualizing voltage and current data from laser experiments with Matplotlib and tuning laser wavelengths to optimize performance.