Building systems that learn from data, serve intelligence, and compound over time.
Started tinkering with computers as a kid—exploring systems and getting lost in games. Studied business in undergrad, then pivoted to CS for my master's. Never became a "pure" engineer, but found my way through building: crawlers, NLP pipelines, sentiment analysis systems, and data infrastructure that processes millions of records.
The path from business to code taught me something: the best systems aren't just technically sound—they're shaped by understanding people and problems first.
- Building AI-native products: agents, intelligent systems, and tools that augment human capability
- Designing data infrastructure that's reliable, observable, and built to evolve
- Long-term BTC holder, with roots in quantitative exploration
- Measure before you optimize. Optimize before you scale.
- Data is the foundation. Intelligence is the product.
- Ship small, learn fast, compound over years.
- Simplicity is a feature, not a constraint.
Athena BigQuery MySQL AWS GCP Spark Airflow
When I'm not building:
- ☕ Chasing the perfect espresso shot
- 🍜 Exploring food—cooking, tasting, understanding
- 🎮 Gaming as meditation and problem-solving in disguise
