David R.

I'm a versatile software engineer and machine learning expert, holding a Master's in Bioinformatics. My career spans roles in data engineering, machine learning, and full-stack development, with a notable project in developing a deep learning tool for image analysis in plant phenotyping at Umeå Plant Science Center. Skilled in Python, SQL, ReactJS, and machine learning frameworks like TensorFlow and PyTorch, I excel in implementing innovative solutions in data processing and AI. My work also includes the independent development of the AI-based 'Artistic AI' app, E-commerce poster selling store [login to view URL], SaaS solution [login to view URL]. Linkedin profile: [login to view URL] Programming Languages and Technologies: Cloud Computing: Google Cloud Platform (GCP), AWS Advanced proficiency in Python, SQL, Matlab, R, HTML, CSS, JavaScript. Skilled in front-end development with ReactJS, React Native. Experienced in back-end development using NodeJS and FastAPI. Machine Learning Frameworks: Expertise in TensorFlow (including Keras) and PyTorch. Machine Learning and Data Processing Skills: Proficient in data preprocessing (noise reduction, dimensionality reduction, normalization). Skilled in data augmentation techniques. Experienced with various deep learning models: CNNs for image classification and segmentation. LSTMs for time series analysis, prediction, and sentiment analysis. Transformers (BERT) for sentiment analysis. Classic neural networks for classification and regression.