Renewable Energy
Hybrid system modeling in HOMER & PLEXOS
Practical lessons from designing real microgrids for remote NL communities. Sizing decisions, sensitivity analysis, and what the textbooks don't tell you.
Weekly writing on renewable energy systems, AI tooling, agentic coding, and the intersection of engineering and machine learning.
I'm preparing the first batch of weekly writing on the topics below. Subscribe via LinkedIn or check back shortly. In the meantime, all my published research is available on the Publications page.
Browse publicationsPractical, technical writing — not summaries of other people's work, but lessons from my own.
Practical lessons from designing real microgrids for remote NL communities. Sizing decisions, sensitivity analysis, and what the textbooks don't tell you.
Custom GPTs that actually save time. Workflows with Claude Code, Codex, and MCP servers. What works, what doesn't, what's overhyped.
Notes from authoring grading rubrics that train and evaluate frontier coding models. What makes a criterion objective, calibrated, and reviewer-proof.
Translating the published research into accessible deep-dives — production technologies, transport modes, and what's actually realistic at scale.
Notes from my master's thesis on tidal turbine foundations. Setting up meshes, choosing turbulence models, and validating results.
How I moved from mechanical engineering into AI training, code review, and agentic tooling — without losing the engineering foundation.