Insights
Written perspectives on chemical analysis data, trading data engineering, and the market shift toward governed AI — drawn from actual project work.
How type-safe data contracts, deterministic fiscal engines and self-correcting AI workflows protect upstream energy asset due diligence from silent model hallucinations.
Read article ·5 min readHow analytical chemistry data should be structured, validated and documented so results hold up under scientific and regulatory scrutiny.
Read article ·3 min readPractical engineering lessons on market data pipelines — timestamps, corporate actions, survivorship, and the validation layer that protects a trading strategy.
Read article ·3 min readThe shift from AI experimentation to governed execution in regulated sectors, and what it demands of data architecture, validation and documentation.
Read article ·2 min readTECHNICAL PUBLICATIONS & WHITE PAPERS
Benchmarking pydantic-core Rust validation against raw C-structs, eliminating non-monotonic timestamps, and enforcing positive spread invariants at 1.1M msgs/sec.
Read article ·7 min readWhy dense cosine similarity fails statutory cross-examinations. Implementing Reciprocal Rank Fusion (RRF) with BM25 and SHA-256 context provenance.
Read article ·9 min readImplementing dual-coordinate (Valid Time vs. Transaction Time) Apache Iceberg tables to meet CFTC Rule 1.31 and MiFID II RTS 25 audit replay standards.
Read article ·8 min readMany engagements begin as a conversation about a specific technical question.
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