Christopher Saba

Experienced Computer Science graduate with an emphasis on Machine Learning, Data Science, Data Engineering, MLOps/ML Engineering and HPC. Major part in developing an MLOps Acceleration Tool, along with all documentation provided. Skilled in Cloud Computing frameworks like AWS, GCP, and very experienced in Microsoft Azure. Python frameworks such as NumPy, Keras, TensorFlow, Pandas/Spark UDF's, and Docker. Lead Developer in Software Engineering environments like SCRUM.

Quantum Casino utilizing real Quantum Computers in IBM Q

• Utilizing Python and the Qiskit framework for Quantum, I was able to code a roulette wheel that will take truly random Qubits (not pseudo-random) combined into a binary string used to create a fun and interesting game.
• This game is using a non-pseudorandom number to create a completely randomized number without use of a seed.
• Created as a proof of concept, that soon Quantum Computers will be used to complete tasks in the place of conventional computers.

Machine Learning and Artificial Intelligence- Multiple projects.

• Image recognition AI model used to create hair segmentations on someone's head. Obtained 79% Accuracy with the model.
• Facial Expression AI model to detect whether someone is smiling, frowning, or neither. Obtained 80.5% Accuracy.
• COVID-19 Symptom prediction AI model to make a prediction based on different factors to see if a patient will be deceased. (90% Effective Accuracy) Deployed and linked with two RESTful webservices, and multiple mobile applications on iOS and Android.