π€ Profile
$whoami
- Student at Waseda University
- Specializing in Machine Learning & Security
- Member of Professor Mori’s Network Security Laboratory
Hobbies
- π΄ββοΈ Cycling
- π¨π»βπ» Coding
- π Learning (natural) languages, currently π¬π§ and π¨π³
π Background
Education
Date | Event |
---|---|
April, 2024 | Entered Department of Computer Science and Communication Engineering, Waseda University Graduate School |
March, 2024 | Graduated from Department of Computer Science and Technology, Acquired Bachelor’s degree in Engineering |
April, 2023 | Became a member of Professor Mori’s Network Security Laboratory |
April, 2021 | Decided to major in CS in Department of Computer Science and Technology |
April, 2020 | Entered School of Fundamental Science and Engineering, Waseda University |
April, 2019 - March, 2020 | Studied for university entrance exams |
March, 2019 | Graduated from Tama Metropolitan High School of Science and Technology |
April, 2016 | Entered Tama Metropolitan High School of Science and Technology |
Job
Date | Job | Description |
---|---|---|
January, 2024 - Now | Research Assistant at Artificial Intelligence Security & Privacy Team at RIKEN | Engaged in researches for more secure and reliable AI technology. |
July, 2023 - Now | Research Assistant at my laboratory | Assisting researches about application of AI technology for security. |
September, 2023 | Intern in MLOps course at Wantedly Inc. | Improved recommendation backend by implementing a module to update recommended items in real time. Article |
π οΈ Skills
π Python
- SNS Bot
- π RA Timecard Recorder: Slack bot for easy work record management (SQLAlchemy, PostgreSQL, Bolt for Python)
- π arXiv Slack Bot: Slack bot for easy understanding of academic papers supported by LLM-powered summarization (LangChain, Hugging Face Transformers, Sentence Transformers, FAISS)
- π₯ Wathematica Discord Bot: Discord bot for easy management of seminars and study sessions held in Wathematica. (SQLAlchemy, SQLite, PyCord)
- Machine Learning
- πΊοΈ Land Price Estimator: Multi-step Deep Learning Model to estimate price of land from its aerial image (Hugging Face Transformers, PyTorch, SegFormer)
- My role in the group: Finetuning of SegFormer (Segmentation Transformer) with LoveDA dataset, Statistical Analysis of Japanese land price data, Deep Learning model architecture design
- πΊοΈ Land Price Estimator: Multi-step Deep Learning Model to estimate price of land from its aerial image (Hugging Face Transformers, PyTorch, SegFormer)
π§ Linux
- Alive Monitoring
- Network Management
- Fix routing problems, VPN connection, …etc
- Scripting for repetitive tasks
- Service management using Systemd
Others
- Git
- Utilization of Git Flow in any software development
- Docker
- Containerization for faster development and environment-independent runtime
- English !!!
- Reasonably good at speaking and writing English
π Certifications
- AWS Certified Cloud Practitioner (Feb, 2024)
- TOEIC Listening & Reading Test Score: 990 (Dec, 2023)
- IPA - Network Specialist (Jun, 2023)
- IPA - Registered Information Security Specialist Exam (unregistered) (Jun, 2022)
- TensorFlow Developer Certificate (Feb, 2022)
- IPA - Applied Information Technology Engineer (Dec, 2021)
- EIKEN Test (Japanese English Proficiency Exam): Grade Pre-1 (Feb, 2018)