Thomas Casco

AI Implementation and Development Specialist with experience in designing, building, and deploying AI and machine learning models. I help businesses leverage AI to optimize processes, improve decision-making, and drive innovation.

Skilled in Machine Learning, Deep Learning, NLP, and Computer Vision.
Proficient in Python, TensorFlow, PyTorch, and cloud platforms like AWS, Google Cloud, and Azure.
Experienced in deploying AI solutions using Docker, Kubernetes, and CI/CD pipelines.
Strong focus on MLOps, ensuring models perform efficiently in production environments.
Passionate about using AI to solve real-world problems and improve business outcomes.

I’m always looking for new opportunities to apply my skills in AI and help organizations achieve their goals.

Developed Machine Learning and Deep Learning models using tools such as Python, TensorFlow, Keras, PyTorch to solve complex business problems. Implemented AI solutions in production environments, ensuring integration with existing systems through RESTful APIs, and platforms like Docker and Kubernetes. Built and managed data pipelines and model training using Google Cloud AI, and Microsoft Azure AI. Optimized production AI models using MLOps practices and monitoring tools such as MLflow and KubeFlow to ensure performance and scalability. Worked with SQL, NoSQL, and Big Data tools like Apache Spark and Hadoop to manage large datasets critical for training AI models. Collaborated on Natural Language Processing (NLP) and Computer Vision projects, utilizing frameworks such as spaCy, Hugging Face Transformers, and OpenCV. Deployed models in cloud and on-premise environments using automation and infrastructure tools like Terraform, Ansible, and Jenkins. Evaluated and selected emerging AI technologies for new projects, ensuring the use of cutting-edge algorithms and frameworks. Implemented CI/CD practices for AI model development and deployment, facilitating continuous delivery and real-time model updates.

National University of Hurlingham 2022 - present Bachelor's degree in Computer Science