Experience
A record of research, engineering and academic positions — from NLP research internships to industry.
Work
Research Intern
Research Promotion Bureau, University Research Infrastructure Development Division Intern
Responsibilities include:
- Trend Analysis of Income Statements for National Universities and Research Organizations
- Audit of Joint Usage / Research Center, Nohken-Hosei University
Algorithm Developer Intern / Parttime
MeVitae applies machine learning techniques to provide resume shortlisting services whilst removing unconscious bias in the process.
Findings were presented at a SEPnet poster presentation event and was awarded with the Best Poster Prize.
Responsibilities include:
- Supervision of a Junior Intern
- Development of an RNN based NER model using tensorflow.keras
- Development of a distributed cloud computing project using Microsoft Service Fabric Actor Model to allow for horizontally scalable product pipeline
Education
DEng Student Information Science
Doctoral Program in Information Science (3-year course)MEng Information Science
Research Focus:
- Inductive Knowledge Graph Completion for Scientific Knowledge Graphs
Skills & Hobbies
- Technical Skills
- Python, PyTorch, FastAPI, Docker, grpc, SQL, Sparql, PySpark
- Hobbies
- Motorsport, Self-Hosting, coding
- Languages
- Japanese, English
Awards
- Neural Network based Named Entity Recognition (NER) models often require large labelled datasets to be trained. In order to speed up the dataset construction process, a predefined set of named entities can be utilised for autonomous sentence labelling by tagging words found in the prededined set. However, NER models trained in such manner often overfit to the dataset and do not generalize to unseen data. In order to improve the generalization capability, we propose a regularisation technique that restrict the model’s input to part of speech tags of the sentence. We show that this technique allows the model to correctly predict a sequence even if it is incorrectly labelled in the training dataset. Poster
