Mohamed A M Elansary, PhD
Target: Senior ML Engineer (Energy & Utilities) — AZX
Sourced insights (≤2)
- PBC at AI × climate: AZX is a public benefit corporation — not SaaS, not a typical consultancy — combining consulting, custom engineering, and reusable approaches (data, code, models) for clients including CBRE, Franklin Energy, Flexe, and Puget Sound Energy. Source: azx.io/careers
- JD Energy & Utilities seat: Own reusable utility ML libraries (forecasting, disaggregation, demand response, detection, asset health) with evaluation harnesses; own building-energy simulation engine (Rust crates + Python bindings) validated against a reference oracle; healthy distrust of metrics; Rust teachable, modeling judgment is not. Source: Ashby JD — Senior ML Engineer (Energy & Utilities)
Proof — physics-informed forecast × eval harness × library craft × ship
- PhD Environmental Engineering, TAMUK 2022: multi-basin, multi-hydroclimate surface-water/groundwater forecast uncertainty quantification & reduction on HPC (MODFLOW, VIC, PIHM, NASA LIS) over USGS/NOAA/NASA stacks — physics-informed multimodel forecasts with hard evals before claims.
- Interval/sensor-adjacent signals: feature engineering from raw multi-source obs; own data engineering; automated sensor→logger→pipeline systems; AMS multimodel streamflow + floods/droughts time-series work.
- Library craft + production Python ship (Vertexium agentic LLM + retrieval + multi-tenant agents; Lucent Energy CTO monitoring; EDAT GRI/SASB/TCFD) — capabilities others consume, with field feedback loops.
- Honest frame: utility ML mapped from hydroclimate UQ + production Python — not claimed AMI/DR/IEEE C37.118 owner; Rust appetite, not ownership; no invented energy-utility pubs. Brand: the PhD who ships. Fully remote · Prefer take-home · ~$140–230k + equity story.