Engineering tools
built for the field

Piping Calc

Pressure drop and wall thickness calculations for process piping per ASME B31.3.

RCFA Assistant

AI-powered root cause failure analysis tool for equipment failures.

Equipment Strategy

Build and manage equipment maintenance strategies with risk-based work selection.

DeepSeek R1

Running via Ollama on a private VPS. No data leaves the server.

FastAPI on Hetzner

All engineering computation and AI inference served from a dedicated private server.

Next.js on Vercel

Edge-deployed UI with global CDN. Fast everywhere, zero cold starts on the frontend.

Ahmed AlBuessa — Mechanical & Reliability Engineer

8+ years across multinational operators — Suncor, Shell, ExxonMobil, and BP — in oil sands, oilfields, and refinery environments. Specializing in equipment reliability, pressure equipment fitness-for-service, and piping integrity on SAGD assets in the Alberta oil sands.

Currently applying that field experience to building engineering tools — combining deep domain knowledge with Python, AI, and modern web tech to solve real problems faster.

Fort McMurray, AB

Contractor · Suncor / Syncrude oil sands

P.Eng registration in progress with APEGA · Fluent in English and Arabic

Engineering knowledge + AI tools

Most engineering software is built by software engineers who don't understand the field. I'm going the other way — a field engineer learning to build the tools that are actually missing.

Current focus: RCFA support tools, piping calculations, equipment strategy assistants — all backed by a private self-hosted AI model that understands engineering context.