About
Computer scientist and mathematician working in statistical learning, causality, microservices, and scientific computing.
My work supports research teams and independent developers by making advanced methods practical in real systems — neural search, record linkage, anomaly detection, semi-parametric causal inference, and byte-pair-encoding pipelines for production NLP.
Outside of work I read, design games, and run a homelab that doubles as a systems playground.
Currently
Building production-first ML at scale, evaluating LLM systems through Judge Arena, and writing at blog.asethi.com.
Capabilities
- 01Statistical learning & inference
- 02Causal inference
- 03Scientific computing
- 04Distributed systems
- 05Agentic orchestration
- 06Production NLP
Selected methods
- neural_search
- record_linkage
- anomaly_detection
- semiparametric_causal
- bpe_pipelines