As an AI Engineer at Telecom Argentina, I leverage my extensive experience in Machine Learning and Audio Engineering to drive innovation in AI initiatives. Over the past 2 years, I've successfully integrated state-of-the-art models into business-oriented AI solutions, achieving seamless integrations with AWS. My expertise spans across Scikit-Learn, Keras, TensorFlow, and PyTorch, which I've used to develop, train, and deploy all kind of ML applications and features. My strong Python foundation, honed through a proven track record of delivering high-quality DSP and Digital Audio solutions, is now my primary tool.

My role involves not only technical prowess but also strong communication skills, enabling me to effectively collaborate with cross-functional teams and stakeholders. Fluent in English, French and Spanish, I am adept at translating complex technical concepts into understandable terms for non-technical audiences.

• Languages

  • Python | MATLAB | Bash

• Frameworks

  • Scientific computation - Numpy | SciPy
  • Data manipulation & visualization - Pandas | Matplotlib | Seaborn
  • Machine & Deep Learning - Scikit-Learn | TensowFlow | Keras | PyTorch | Hugging Face

• Tools

  • AWS | Docker | Git | JupyterLab | Colab | VS Code | Spyder | Flask | Redis