Chief Beekeeping OfficerSaving bees by empowering beekeepers.

Exploring the use of vision language models to create a common sense reasoning system replicating intelligent disobedience in guide dogs for visually impaired users through a robotic quadruped platform.

Organization of students supporting healthy bee habitats and educating about pollinators through sweet events

(TikTok @mikethebeekeeper 60K+ followers) Manage and take care of beekeeping operations for over 20 hives in the Southern Tier providing raw and natural honey bee products through channels including local stores, interest groups, marketplaces, farmers markets, and social media

Business and product development accelerator

Improved the evaluation of commercialization potential of new technologies using AI, predictive analytics, and integrated patent analysis in a user friendly and comprehensive format.

One of three co-founders of Fine Mining LLC, a company dedicated to creating the first authentication backed live marketplace for buying and selling ASIC computer hardware for proof-of-work blockchain based cryptocurrencies.Led the creation of our Flutter based mobile marketplace from initial ideation and technical features to the final design and launch of our product on both iOS and Android platformsDesigned features such as interactive live profitability charts for each product by calculating values using combined electricity cost and cryptocurrency price data sourcesImplemented third-party APIs including Stripe, Paypal, Coinbase Commerce, BrainTree, and Google Business Analytics for secure payments and seamless integration for end users Successfully curated and conveyed company mission presentations live to statewide business competition investors including the 2023 NYBPC Finals in Syracuse, NY

Researched, analyzed, and tested time-series data processing strategies employing data filters, fast-Fourier transforms, stochastic calculus, and wave transforms to minimize noise and maximize output signal significanceReverse-engineered mathematical and statistical studies from complex calculations into Python using PyTorch and adding hyperparameters for custom optimization during testing and analysis

Created a profit tracking program that gathered trading data from an Alpaca API and calculated statistics such as daily and overall profit/ loss, win percentage, running total of winning/ losing trades, and Restructured and optimized existing financial features library from C# to Python using NumPy and Pandas for the transformer-based time series analysis neural network Developed combinational experiments of 100+ features increasing prediction accuracy of neural network by up to 38%

Advised a team of 6 students conducting research on the applications of AI on facial expression recognition and deep-fakes

Student Researcher at SUNY Binghamton in the Environmental Visualization stream under the First-Year Research Immersion Stream.