Hello! I'm Danmeng CAI, an AI Engineer at
FCNT (Lenovo Group) in Kanagawa, Japan.
I work with the Motorola global team to create AI-powered features that enhance smartphone experiences
I hold an MS in Informatics (NLP specialization) and an MA in International Area Studies from the University of Tsukuba.
My background spans AI product management, LLM development, and international collaboration, allowing me to connect technical expertise with global perspectives to deliver innovative and user-centered AI solutions.
AI Minutes is designed to securely and accurately generate meeting minutes for various corporate settings. As the Product Manager, I lead our AI and Development teams in integrating advanced technologies into our web application. This includes developing and implementing Speech-to-Text models, Speaker Diarization models, and Large Language Models to enhance transcription accuracy and speaker identification.
Check our Product
Based on previous literature on Multi-Target Feature Selection (MTFS) and psychology, this research proposes a MTFS method to mitigate overfitting when predicting psychological status using text data.
Paper published in Information Integration and Web Intelligence (iiwas 2024)
The IPBES is an intergovernmental body that has taken significant role in examining biodiversity trends. In this project, we leverage NLP techniques to undertake contextual semantic network examination of the expert comments from IPBES.
Poster accepted by Tsukuba Conference 2023
I walk through how qualitative expert feedback can be transformed into structured insights using topic modeling, sentiment analysis, and clustering to support biodiversity research. Read More
I compare BERT and LSTM models on accuracy and training time for sentiment analysis, showing where transformer-based approaches shine and where lighter recurrent models still win. Read More
University of Tsukuba, 2022-2024
University of Tsukuba, 2022-2024
University of Tsukuba, 2018-2021
Washington University in St. Louis, 2019-2020
University of Tsukuba, 2014-2018
Years Worked: May 2025 - Current
I lead the Japanese testing team, ensuring that AI features are effectively adapted to local contexts and user needs. I provide weekly progress reports on AI localization to teams in China, the US, and India, enabling alignment across regions. I also work closely with Brazilian and Chinese teams to refine prompts, resulting in more accurate and user-friendly AI outputs.
Years Worked: Oct. 2024 - Apr. 2025
I manage a team of AI engineers in Vietnam and developers in India, collaborating to create innovative AI-driven applications. Additionally, I contribute to the Global Division Department by driving strategies to enhance sales performance in Japan's online shopping marketplaces.
Years Worked: Feb. 2024 - Sep. 2024
I collaborated on the LLM-Creative project, focusing on understanding the company's workflow and exploring improvements to the creative production process using LLMs for more efficient, reproducible outputs. Additionally, I researched how to use LLM tools for generating advertising images through Midjourney and explored video generation methods like Runway Gen-3. I also developed a customized ChatGPT model that generates catchy copywriting from URLs and utilized OpenAI's API in Google Apps Script to automate customer and market data analysis, enhancing workflow efficiency.
Years Worked: July 2024 - Aug. 2024
I focused on network analysis of conspiracy groups on Telegram, creating bipartite networks to explore the interactions between groups and authors. I utilized tools like NetworkX and Gephi to calculate key metrics such as degree centrality, betweenness centrality, and PageRank. I categorized groups based on the number of authors and messages, analyzed shared authors between groups, and developed methods to calculate group closeness.
If you'd like to get in touch, feel free to email me at: caidanmeng@gmail.com