Software Architect | Data Scientist | Ph.D. Mathematics
I design high-performance data systems in Rust and C++ and apply statistical and machine-learning methods to industrial planning problems. My work spans DuckDB extensions, time-series forecasting engines, and GenAI infrastructure (RAG, MCP servers, foundation model inference).
LinkedIn • Crates.io • DataZooDE
- Time-Series Forecasting -- Hierarchical, probabilistic, and intermittent-demand forecasting for supply chains, built as native DuckDB extensions.
- Statistical Computing -- Production-grade regression, hypothesis testing, and causal inference in Rust, exposed through DuckDB and Polars.
- GenAI & RAG Infrastructure -- Vector databases (HNSW/DiskANN), retrieval-augmented generation, and Model Context Protocol (MCP) servers for AI-assisted development.
- Foundation Model Inference -- Pure-Rust inference engines for time-series models, targeting edge and WASM deployment without Python dependencies.
- Enterprise Data Integration -- DuckDB extensions for SAP and API ecosystems, bridging legacy ERP systems with modern analytical workflows.
- Inventory & Supply Chain Optimisation -- Stochastic inventory models and demand planning applications.
| Project | Domain | Highlight | Stack |
|---|---|---|---|
| flapi | API / AI Agents | DuckDB-powered API gateway with MCP server and VS Code extension | C++, DuckDB |
| erpl | Enterprise Integration | DuckDB extension bridging SAP systems via RFC | C++, DuckDB |
| anofox-forecast | Time-Series Forecasting | 2,900x faster than statsmodels; DuckDB community extension | C++, Rust, DuckDB |
| anofox-tabular | Data Quality | Anomaly detection, validation, and data preparation in DuckDB | C++, DuckDB |
| polars-statistics | Statistical Computing | High-performance statistical testing and regression for Polars | Rust, Python |
| Magpie | GenAI / RAG | Vector DB and RAG engine with HNSW, hybrid retrieval, AST-aware chunking | Rust |
| Chronos-2 | ML Inference | Pure-Rust re-implementation of Amazon's Chronos-2 time-series foundation model | Rust, Candle |
| Inventory Optimisation | Supply Chain | Stochastic inventory models for demand planning | Rust |
| fdars | Functional Data Analysis | FDA algorithms -- depth measures, clustering, smoothing, regression | Rust, R |
| dbt-lineage-viewer | Data Engineering | Fast CLI for visualising dbt model lineage | Rust |
flapi and erpl are DataZooDE projects.
Core:
Data & ML:
Infrastructure:
