At DataAnnotation, I evaluate AI model outputs, annotate training data, and compare responses for factual accuracy, reasoning quality, and instruction-following.
For my Market Movement Forecasting Model, I built a Python pipeline to process over 600,000 historical market records per run. I trained and evaluated scikit-learn regression models and visualized predictions with matplotlib.
On my Sentiment Classification Pipeline, I used TF-IDF and bag-of-words features to train and evaluate a logistic regression model, achieving an F1 score of 0.95.
At Organomation, I translated technical product information into customer-facing marketing and support content. My projects also include a React and JavaScript travel planner and a 3D animation film created with Cinema 4D.
