Hire Thomas G. - AI Engineer - New York

AI Engineer with a focus in using Generative AI to build custom applications. A typical project includes designing a solution architecture, using open-source tech to build out the use case, and presenting results to technical and non-technical audiences. A typical project will include Prompt Engineering of a LLM, Fine-Tuning of that model and using a vector database to embed text data for a RAG solution. Some common GenAI technologies I use are from HuggingFace, OpenAI, IBM watsonx, and models from Meta and Mistral. I also use the Pydata stack (pandas, numpy, scikit-learn) for data structure and Machine Learning tasks.

Data Scientist with focus in machine learning. Works with clients across multiple industries (hospitality, manufacturing, construction, retail, telecommunications, finance) to solve a variety of business problems. Developed use case solutions that include regression models (multiple and multivariate), classification (binary), and time series (both for regression and classification predictions). Solutions include end-to-end workflows, including: data ingestion and inspection, data cleaning, feature and label engineering, model building, and model deployment. Commonly used algorithms include LightGBM, XGBoost, Clustering (KMeans, DBSCAN, Hierarchical), and Random Forest. Also experience using ARIMA, Exponential Smoothing, and Linear Regression models.

Held a position as a Teaching Assistant for two Introductory Statistics courses at SUNY Oneonta. The responsibilities included teaching lecture material during class meeting times, holding office hours, giving review sessions, and in-class guidance.