Building large-scale data platforms, resilient backend systems, and AI-powered tooling.
In the hours left over: PADI Divemaster and reef conservation specialist who codes for the ocean.
| Area | Stack |
|---|---|
| Backend & APIs | Python · FastAPI · Django · Flask · Redis · Celery · RabbitMQ |
| Data & Streaming | Kafka · Redpanda · Spark · Apache Beam · dbt · DuckDB · Delta Lake |
| Warehouses & DBs | BigQuery · Snowflake · ClickHouse · Redshift · PostgreSQL · MongoDB · Neo4j |
| Orchestration | Airflow · Mage · Dagster · dlt |
| Infrastructure | GCP · AWS · Terraform · Kubernetes · Docker · CloudFormation |
| Observability | Prometheus · Grafana · Loki · Alertmanager · Arize Phoenix |
| AI & Agents | LanceDB · MCP · MLflow · DVC · PyTorch · Apache Beam |
| Formats | Parquet · ORC · Avro · Delta |
I apply these skills to marine conservation in my spare time. Three public projects:
| Project | What it is |
|---|---|
| 🦭 monk-seal-modelling | Agent-Based Model of Monachus monachus in Madeira, driven by real Copernicus Marine oceanographic data |
| 🐠 divesite-species-analytics | 162M+ OBIS records + 7 datasets → full-stack platform mapping species to 3,400+ dive sites |
| 🤿 diveroast | Conversational AI agent that analyses SCUBA dive logs — RAG over DAN safety data, MCP server, Cloud Run |
Open to collaborating with marine researchers, conservation organizations, or anyone building open-source ocean tooling.

