Professional Experience

Leading AI Retrieval and LLM engineering strategy at Asana. Managing 14 direct reports across two teams, including 4 staff engineers.

Key Achievements

• Production AI at Scale: Transformed 5 AI prototypes into production GA features; scaled RAG platform 35x to 320,000 weekly requests while reducing p95 latency by 70%.
• Technical Innovation: Architected hybrid RAG system combining BM25 + dense embeddings with cross-encoder reranking; improved TTFT by 24% while reducing LLM costs by 35%.
• Strategic Partnerships: Own vendor relationships with Anthropic and OpenAI, including multi-million dollar contracts and early access programs. Featured: Claude 3.5 Sonnet analysis.
• Team Growth: Helped build AI org structure for 23+ engineers; promoted 8+ to Senior/Staff; achieved 100% offer acceptance rate (14 candidates); established underrepresented talent pipeline.

• Delivered Asana-Jira bidirectional sync generating $11M+ ARR, unblocking 20+ enterprise deals.
• Improved Tableau sync performance by 60x (11 hours → 11 minutes) while transforming underperforming team.
• Led scaling initiative for Asana's largest customer (150k+ users) across 36 engineering teams.

• Engineer #9 → Engineering Manager in 4 years during Series A to C growth.
• Deployed ML recommendations increasing conversion by 25%.
• Invented algorithm achieving 1000x performance improvement (7s → 7ms) for real-time search.