Nikolina T.

Python fullstack development for LLM applications, leveraging Langchain, Chainlit, OpenAI, and Anthropic APIs to build intelligent and interactive AI-driven solutions. Collaborating in Agile teams, as well as developing Slack bots for team automation and productivity.

- Worked on cutting-edge sensor data software for real-time ECG monitoring, signal collection and medical history management. Implementing feature extractors on raw signals, acquiring and preprocessing datasets, performing signal processing and time series analysis and transmitting data to Big Data infrastructure - Developing machine learning models for ECG anomaly detection, using NumPy, Pandas, Scikit-learn, Tensorflow, XGBoost, BioSPPy, LSTM... Using MLflow for model versioning, experimentation, and deployment

- Contributed to machine learning model development and research in the cardiology domain within the AiHeal project, focusing on ECG signal-based predictions, including processing and preprocessing of large datasets, time series analysis, analyzing data quality and integrity - Using Python libraries (NumPy, Pandas, Scikit-learn, Tensorflow, BioSPPy, .) for data preprocessing, feature extraction, model training and evaluation