Kaito Baba (kAIto47802)
First-year master's student at the University of Tokyo
Graduate School of Information Science and Technology
k.ai.to47802 [at] gmail.com
baba-kaito662 [at] g.ecc.u-tokyo.ac.jp
Biography
I am a first-year master’s student at the Graduate School of Information Science and Technology at The University of Tokyo. My primary research interests lie in large language models (LLMs), deep learning, optimization, learning theory, and algorithm design.
Publications
International Conference Proceedings (Refereed)
The T05 System for the VoiceMOS Challenge 2024: Transfer Learning from Deep Image Classifier to Naturalness MOS Prediction of High-Quality Synthetic Speech
IEEE Spoken Language Technology Workshop (SLT), 2024
Workshop Papers at International Conferences (Refereed)
Prover Agent: An Agent-based Framework for Formal Mathematical Proofs
ICML Workshop on AI for Math, 2025
JRadiEvo: A Japanese Radiology Report Generation Model Enhanced by Evolutionary Optimization of Model Merging
NeurIPS Workshop on AIM-FM: Advancements In Medical Foundation Models: Explainability, Robustness, Security, and Beyond, 2024
Application of Contrastive Learning on ECG Data: Evaluating Performance in Japanese and Classification with Around 100 Labels
NeurIPS Workshop on AIM-FM: Advancements In Medical Foundation Models: Explainability, Robustness, Security, and Beyond, 2024
Articles
[Optuna v4.2] Gaussian Process-Based Sampler Can Now Handle Inequality Constraints
Medium, 2025
[Optuna v4.2] ガウス過程を利用した Sampler の不等式制約対応
Preferred Networks Tech Blog, 2025
Domestic Conference Proceedings
UTMOSv2: Integrated Use of Spectrogram and SSL Features for Naturalness MOS Prediction
Acoustical Society of Japan Autumn Meeting, 2024
Awards and Honors
–Aug. 2024
4 solo bronze medals🥉 in Kaggle competitions
–Aug. 2024
Won 4 solo bronze medals so far in Kaggle, the world's largest machine learning competition.
Jun. 2024
1st place🥇 in 7 out of 16 metrics and 2nd place🥈 in the remaining 9 metrics in the VoiceMOS Challenge 2024 Track1
Jun. 2024
Took the above ranking in a global competition to create a machine learning model to predict the naturalness MOS of synthetic speech.
Mar. 2024
1st Place in Hackathon by AIFUL (aihack2024)🥇
Mar. 2024
Developed a machine learning model for predicting the credit score of individuals.
Oct. 2023
Special Prize, 3rd Place in Hackathon by LIFECARD🥉
Oct. 2023
Created a machine learning model for credit scoring.
Sep. 2023
World Rank 3, CodinGame Othello AI competition🥉
Sep. 2023
Developed an AI for the game of Othello (Reversi) by combining deep reinforcement learning and heuristic search algorithms.
Mar. 2023
Special Prize, 4th Place in the Final Round in Hackathon by SoftBank🏅
Mar. 2023
Developed a web application integrated with object detection AI.
Work Experience
Jul. 2024
–Present
–Present
Preferred Networks, Inc.
Part-time Engineer
Jul. 2024–Present
Developing Optuna, an hyperparameter optimization library, as part of the AutoML team.
May. 2024
–Present
–Present
The University of Tokyo Hospital
Technical Staff (Part-time)
May. 2024–Present
Conducting research and development of medical AI in collaboration with physicians.
Dec. 2023
–May. 2024
–May. 2024
SIGNATE Inc.
Technical Advisor, Educational Material Creator (Outsourcing)
Dec. 2023–May. 2024
Created materials on RAG (Retrieval-Augmented Generation) and prompt engineering as an LLM Advisor.
Created educational materials on data analysis, LLM usage, algorithms, optimization, etc.
Nov. 2023
–Apr. 2024
–Apr. 2024
kuzen Inc.
Full-stack Engineer (Internship)
Nov. 2023–Apr. 2024
Involved in front-end and back-end implementation, as well as the development of a RAG system using LangChain.
Oct. 2023
–Dec. 2023
–Dec. 2023
Recruit Co., Ltd
Datascientist (Internship)
Oct. 2023–Dec. 2023
Worked in the Search Group of the Data Promotion Office, developing a RAG system to improve the internal document search experience.
Jul. 2023
–Apr. 2025
–Apr. 2025
The University of Tokyo Edge Capital Partners Co., Ltd. (UTEC)
Research Assistant
Jul. 2023–Apr. 2025
Conducting data collection, analysis, and predictive model creation for investors.
Developing a system for an internal tool.
Apr. 2023
–Sep. 2023
–Sep. 2023
LearnWiz Inc.
Font-end Engineer (Outsourcing)
Apr. 2023–Sep. 2023
Carried out front-end implementation and proposed UI/UX design for web applications.
Jan. 2023
–Sep. 2023
–Sep. 2023
GHELIA Inc.
AI Researcher (Internship)
Jan. 2023–Sep. 2023
Conducted research and development in deep learning related to image recognition.
Education
Apr. 2025
–Mar. 2027 (expected)
–Mar. 2027 (expected)
The University of Tokyo, Graduate School of Information Science and Technology
Master
Apr. 2025–Mar. 2027 (expected)
Supervisor: Prof. Hideki Nakayama
Apr. 2021
–Mar. 2025
–Mar. 2025
The University of Tokyo
Department of Mathematical Engineering and Information Physics, Faculty of Engineering
Bachelor
Apr. 2021–Mar. 2025
Supervisor: Prof. Taiji Suzuki
Other Experience
Feb. 2025
–Mar. 2025
–Mar. 2025
National Tsing Hua University
Short-term Exchange Program (Master Course)
Department of Industrial Engineering and Engineering Management
Feb. 2025–Mar. 2025
Worked with Prof. Wing-Kai Hon.
Conducted research on efficient algorithm design.
Technical Skills
Deal with:
Deep learning, reinforcement learning, front-end development, back-end development, etc.
Languages and Frameworks:
Advanced:
Rust, Python, PyTorch, TensorFlow, TypeScript, JavaScript, React, Next.js, HTML/CSS, C, C++, bash, Swift, Go, Google Apps Script, and R
Intermediate:
Haskell, OCaml, Scheme, Assembly (RISC-V), SQL, Fortran, Verilog, C# (Unity), Julia, Java, and Kotlin
Tools:
Git/GitHub, Docker, AWS, GCP, Linux, GitHub Actions, GraphQL, Terraform, Arduino, Raspberry Pi, etc.