Voice data for AI
AI teams lack large-scale, diverse, high-quality labeled conversational audio data needed to train and evaluate speech and voice models.
Besimple AI collects, curates, and human-annotates multilingual conversational audio (transcription and diarization) and licenses it for ASR and voice-model development.
AI/ML teams at startups and enterprises building or evaluating ASR systems and voice agents.
AI product leader at top-tier tech companies including Meta, Microsoft, and Dropbox, specializing in deploying large scale AI systems to realize business value
Shenzhen-born, Rhode Island-brewed, Bay Area-domesticated. While at Meta, launched 7 products and killed 2. Most recently, led the GenAI Annotation team, developing an in-house annotation platform for training LLaMa. Previously, managed an engineering organization responsible for improving connectivity for over 300 million users and optimizing 70%+ of Meta's annual SMS spend.




