Intelligence Product Builder
I build intelligence systems that turn data into decisions.
15 years across product, data, ML, and AI. Knowledge graphs, multi-agent search, anomaly detection, decision-support layers.
Built products at
▸Knowledge graphs▸Multi-agent systems▸Anomaly detection▸Scoring & matching▸Predictive models▸RAG pipelines▸Hybrid search▸CUPED▸Uplift modeling▸Sequential testing▸ClickHouse▸Neo4j▸BigQuery▸Snowflake▸Redshift▸dbt▸Prefect▸Airflow▸Pydantic AI▸Vertex AI▸Claude▸Gemini▸Python▸SQL▸R▸TypeScript▸Supabase▸Vercel▸Knowledge graphs▸Multi-agent systems▸Anomaly detection▸Scoring & matching▸Predictive models▸RAG pipelines▸Hybrid search▸CUPED▸Uplift modeling▸Sequential testing▸ClickHouse▸Neo4j▸BigQuery▸Snowflake▸Redshift▸dbt▸Prefect▸Airflow▸Pydantic AI▸Vertex AI▸Claude▸Gemini▸Python▸SQL▸R▸TypeScript▸Supabase▸Vercel
What I build
Cases: click to open details
- case · 01open →
open-data graph stack- Neo4j
- Pydantic AI
- Prefect
- XGBoost
- Claude
full case → - case · 02open →
match score · live alerts- ClickHouse
- Airflow
- Looker
- AWS
- LLM agents
full case → - case · 03open →
trigger · cohort · activation- Braze
- Recommendations ML
- BigQuery
- Productboard
- A/B
full case → - case · 04open →
ARR · 4-quarter view- Productboard
- Roadmap
- Discovery
- Cross-functional
full case → - case · 05open →
completion funnel · before vs after- Discovery
- Product analytics
- A/B testing
- User research
full case → - case · 06open →
rev / impression by slot- ML ranking
- ClickHouse
- Python
- SQL
- BI
full case → - case · 07open →
DataHub · ETL pipeline- Redshift
- AWS
- ETL
- Monte Carlo
- BI
full case →
0107
↓ Get in touch
Contact / engagements