LLM and Agentic AI
Research prototypeSales Intelligence from Calls
Problem
Insights from sales calls stay locked in recordings nobody re-listens to.
System
A speech-to-insight workflow that transcribes calls with Whisper and uses an LLM to extract sentiment, topics, and action items.
My contribution
Built the transcription and post-processing pipeline and the structured extraction prompts.
System architecture
- Call audio
- Speech recognition
- LLM analysis
- Structured summary
Technical focus
- Speech-to-text
- Sentiment analysis
- Structured outputs
Technology stack
- Whisper
- Python
- LangChain
Data source
Dataset and data-collection write-up is being prepared.
Data pipeline
Ingestion and preprocessing write-up is being prepared.
Model or LLM workflow
Model and workflow write-up is being prepared.
Evaluation and results
Evaluation setup and results write-up is being prepared.
Challenges and engineering decisions
Key engineering decisions write-up is being prepared.