Leading ML development for enterprise communication analytics.
Key Contributions
- Led 4-engineer ML team from concept to production MVP in 12 weeks
- Architected sentiment analysis pipeline processing Jira, Slack, and Zoom data
- Improved precision from 0.71 → 0.86 (+21%) through advanced prompt engineering
- Implemented PyTorch GNN to model organizational social graphs
- Boosted recommendation accuracy by 22%