Michael F.

Wondering if your idea is technically possible? Let's discuss it. Wondering if your idea can be turned into software? Let's explore it. Want to know the limits of large language models( LLMs)? Let's find out. I've been a consultant for new products/platforms, architecture design, programming, modeling, and so much more. Formally, I’ve worked as a researcher and developer alike in creating end-to-end software solutions. I have published research in the realm of formal models, machine learning, and data science. My passion projects include algorithmic trading bots, computer vision/facial recognition, ecology modeling, and Natural language processing(NLP). I hold a Bachelor of Science degree in Computer Science, graduating Summa Cum Laude with an emphasis in data science & Artificial Intelligence(AI). Finally, I’m the founder of “Data Bindu LLC” which seeks to push the boundaries of what is possible with data. Past Experience : Identified a bimodal distribution underlying file transfer error causing 7x (700%) resource expenditure than baseline. Created a recommendation engine which improved user-to-user connectivity through predictive analytics. Created an automated solution which alleviated ≈90% of a given business workflow. Created ecology models to predict cyanotoxins from algae blooms in freshwater environments. Scroll down for more successful projects. PUBLICATIONS Agnew, W., Fischer, M., Foster, I. and Chard, K., 2016, November. An ensemble-based recommendation engine for scientific data transfers. In 2016 Seventh International Workshop on Data-Intensive Computing in the Clouds (DataCloud) (pp. 9-16). IEEE. Fischer, M., Riley, D., 2016, April. Using Data Mining in Combination with Machine Learning to Enhance Crowdsourcing of a Formal Model of Biodiesel Production. In 49th Annual Midwest Instruction and Computing Symposium (MICS 2016).