Systems
Jouzu — LLM-Driven Character Learning Platform (Founder)
Website: jouzu.ai
A production Japanese learning application centered on stylized conversational agents.
- Designed persona-conditioned dialogue agents for language learning
- Integrated speech input/output for conversational practice
- Built and deployed backend APIs and learning workflows
- Led cross-functional team (engineering, art, voice)
Research focus: engagement, adaptive dialogue, long-term interaction.
VoxRAG — Transcription-Free Spoken Question Answering
GitHub: zackrack/voxrag
Publication: MAGMaR @ ACL 2025
Explores retrieval-augmented generation directly over speech representations rather than relying on full ASR transcripts.
- Built multimodal retrieval + generation pipeline
- Designed speech-grounded evaluation framework
- Investigated robustness to ASR noise
AdaptLingo — Adaptive Speech-to-Speech Dialogue Agent
GitHub: zackrack/adaptlingo
End-to-end conversational system that adapts responses to user English proficiency.
- Integrated ASR, prosody analysis, constrained decoding
- Implemented speech-to-speech conversational loop
- Focused on real-time adaptive difficulty control
RAG Product Assistant — Infineon Technologies
(Code proprietary)
Enterprise retrieval system for technical documentation.
- Designed document ingestion + indexing pipelines
- Integrated RAG architecture into internal workflow
- Reduced product lookup time from minutes to seconds
Re:Member — Emotional Question Generation System
Publication: HCI+NLP @ EMNLP 2025
Dialogue system that generates emotionally-aware questions from personal memories.
- Designed LLM-based generation framework
- Investigated affect-aware prompting
- Evaluated question diversity and emotional alignment
Expressive Japanese TTS Evaluation Pipeline
Publication: IEEE UEMCON 2025
Comparative evaluation framework for expressive multilingual TTS models.
- Benchmarked VITS and Style-BERT-VITS2
- Designed human evaluation study
- Built analysis pipeline for speech quality metrics
Jouzu Engagement Analysis System
Built data collection and analysis pipeline for studying learner-agent interaction outcomes.
- Logged conversational patterns
- Analyzed engagement metrics
- Connected usage patterns to learning outcomes
Speech-Based CALL Prototypes (Columbia / University of Tokyo)
Research prototypes exploring:
- Speech-integrated dialogue agents
- Multimodal interaction in educational settings
- Adaptive conversational scaffolding
