Work to improve Watson Text to Speech (TTS) service. Collaborate with teammates to create new test fixtures and enhance Voice Tuner to expedite development.

• Established Brazilian Portuguese tokenizer (BPT), analyzing existing tokenizer codebase and implementing BPT in Watson TTS.

• Improved tokenizer accuracy by creating new test fixtures using Python Behave Framework to capture wrong phoneme output during regression testing.

• Streamlined voice tuning process by using C++ REST API, enabling Voice Tuner application to communicate with a server using JSON to synthesize speech from input text, request information regarding the sample recordings of produced speech, and edit voice properties to tune voices based on customer requirements.

• Fixed memory corruption in Japanese speech synthesis engine using gdb and valgrind.

Explored applications of machine learning on incoming risk alerts with Risk Management team

• Collaborated with team to understand risk management data and alert logic, providing a “proof of concept” to detect false alerts.

• Used TF-IDF algorithm on alert reviews, gathering common keywords and phrases in different types of alert.

• Applied supervised machine learning on alert comments, classifying alerts as either legitimate or redundant using Python scikit-learn and NumPy library.

• Monitored computers, scanners, and printers at University Computer labs

• Helped users with computer-related problems.

• Assisted students in utilizing the various kinds of technology resources (Cloud Printing, Virtual Machine, Software License) available to them.

Worked with an Embedded System Engineer to reduce time to customize power supply monitor and prepare cooling system.

• Designed and developed GUI in C, allowing user to change configuration of Power Supply Monitoring System.

• Tested and debugged Fan Control System in a Communication Jammer, ensuring proper cooling.