CV

Details about my track record and previous affiliations

Basics

Name Jan Christian Blaise Cruz
Current title Lead Engineer, Speech and Natural Language Processing
Current affiliation Samsung Research Philippines
Email me@blaisecruz.com

Work

  • 2023.09 - 2024.08
    Lecturer
    University of the Philippines - Diliman
    Designs and implements course structure, materials, and examinations for undergraduate courses at the Electronics and Electrical Engineering Institute
  • 2021.01 - Present
    Lead Engineer, Speech and Natural Language Processing
    Samsung Research Philippines
    Leads a team of research engineers on Speech and NLP R&D for Samsung's AI Products. Heads research on multilingual and low-resource NLP.
  • 2019.08 - 2020.12
    Researcher + Teaching Assistant
    De La Salle University - Manila
    Led research teams on diverse NLP topics including Question Answering Question Generation, NLI, and Fake News Detection. Thesis groups under my leadership won the department’s Most Outstanding Thesis Award for four consecutive years.
  • 2018.04 - 2018.08
    Research Engineering Intern
    Senti AI
    Worked on research and development projects on low-resource conversational agents and machine learning.
  • 2018.01 - 2018.03
    Data Analytics and Big Data Intern
    RCG Global Services PH
    Lead R&D on data preparation and automatic visualization for data management platforms and big data solutions.

Education

  • 2024.08 - Present

    Abu Dhabi, UAE

    PhD Natural Language Processing
    Mohammed bin Zayed University of Artificial Intelligence
    Incoming PhD Student -- Fall 2024 Cohort
  • 2015.08 - 2019.08

    Manila, Philippines

    BS-MS Computer Science
    De La Salle University - Manila
    Most Outstanding Thesis Awardee (Localization of Fake News Detection via Multitask Transfer Learning) advised by Dr. Charibeth K. Cheng

Languages

Filipino
Native speaker
English
Fluent

Interests

Natural Language Processing
Machine Translation
Representation Learning
Language Modeling
Resources and Evaluation
Low-resource NLP
Code-switching Understand and Generation
Metrics for Low-resource Tasks
Low-resource Modeling
High-resource to Low-resource Transfer Learning