As a machine learning engineer, I specialize in developing cutting-edge models tailored for our clients, emphasizing smaller, fine-tuned models optimized for edge devices to maximize resource efficiency.
Natural Language Processing: Developing finetuned automatic speech recognition and speaker diarization models to extract information from telephone and radio data.
Neural Architecture Search: Researching and implementing methods for automating the design of neural network architectures to optimize performance and efficiency.
Python Development: Designing frameworks for Wyser and centralized pipelines to enhance the efficiency of the data science team.
“To maximize Wyser’s potential by developing efficient and effective models tailored for edge devices.”