Building tools to automate content analysis and research workflows.
PaperCutAI: Prompt-based video content analysis and automated audio summary rendering using transformer ensembles Speech recognition and diarization Content summarization and highlight extraction Collaborative editing interface
AI/ML: PyTorch, Transformers, spaCy, scikit-learn Backend: Python, Flask, FastAPI, Rust Frontend: React, Tailwind CSS Audio/Video: FFmpeg, Whisper, PyDub Data: SQLite, PostgreSQL, Redis DevOps: Docker, Git
Large-scale audio/video processing Transformer-based text analysis Research automation tools API development & system architecture
Qualitative data analysis automation Clinical dialogue processing Content summarization methods Classification model benchmarking
Currently developing AI-powered tools for media processing and research automation. Open to collaboration on projects involving audio/video analysis, NLP, or research tools.