Samuel Berchie

I am an AI/ML Engineer, Data Scientist, and Researcher with approximately three years of applied experience developing machine learning and deep learning solutions for real-world problems. My work spans data analysis, predictive modelling, computer vision, biomedical signal processing, natural language processing (NLP), large language models (LLMs), and research-driven AI development.
I have experience working with data throughout the machine learning lifecycle, including data cleaning, exploratory data analysis, feature engineering, statistical analysis, model development, experimentation, evaluation, and deployment. I use Python and SQL alongside libraries and frameworks such as Pandas, Scikit-learn, PyTorch, TensorFlow, and Keras to build, evaluate, and improve data-driven solutions.
My technical toolkit includes Python, SQL, PyTorch, TensorFlow, Keras, Scikit-learn, Fastai, Hugging Face, LangChain, Ollama, Git, Docker, MLflow, Weights & Biases, PostgreSQL, MongoDB, SQLite, Flask, FastAPI, and Streamlit.