I am truly passionate about my work and learning new technologies. I have a strong background in core programming languages, data structures, and object-oriented design. Currently, I work at IBM in agile fashion on Watson Text-to-Speech service.

Experience

2017 — NowIBMSoftware Engineer at IBM Watson

2017 — Now

Massachusetts, USA

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.

2016 — 2016Bank of America Merrill LynchTechnology Analyst Intern

2016 — 2016

Trenton, New Jersey

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.