Energy & Geotechnical Engineer · Programme & Digital Delivery
📍 East Asia (Hong Kong / Taiwan) · fully remote · flexible timezone
I'm a geotechnical and energy engineer with 2+ years' program-management experience delivering renewable energy, risk and environmental projects across Hong Kong, Taiwan and Japan — from multi-sub-project BESS programmes and offshore wind cable-risk studies to APAC energy market platforms. I work with directors and cross-functional teams on scope, budget, compliance and standard-driven workflows (DNV, ISO), and build the Python / Power BI automation, digitalisation and project-finance tools that keep them moving.
From subsea cable risk to energy-market dashboards, I blend geotechnical engineering, climate science, and software automation for the renewable sector.
Aligning geotechnical and cable-burial work with DNV, ISO and IMS frameworks for compliance and defensibility.
Coordinating multi-team BESS, offshore-wind and due-diligence programs — scope, budget, schedule and reporting for directors and clients.
Python, VBA and Power Platform workflows that turn spreadsheets into real-time dashboards and cut reporting cycles from days to minutes.
Excel / VBA
Power BI
Power Apps
Power Automate
Excel / VBA
Power BI
Power Apps
Power AutomatePlus geotechnical interpretation · cable burial risk · DNV & ISO standards · offshore wind & BESS · NWP verification & ERA5-Land · probabilistic risk modelling.
Nine projects spanning offshore wind, battery storage, technical due diligence and landslide research — plus two interactive digital tools I built outside work.
Named preparer on the two principal geotechnical deliverables for the inter-array cables, export cable corridor and HDD shore approach — the Geotechnical Interpretation Report and the Cable Burial Risk Assessment, carried from first issue through successive client review cycles.
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Interactive benchmark for lossy / lossless compression of ERA5-Land data (Zarr + Blosc-Zstd). Pre-loaded Asia 48h subset — runs fully in your browser.
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Interactive project-finance model for offshore wind — valuation, debt sizing, 25-year cash flow and covenant stress tests that tell you which variable to move to make a deal bankable.
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Desktop studies and risk assessments for five onshore wind and solar sites — feasibility, environmental and regulatory review, land rights, natural hazards and CAPEX/OPEX — feeding the investor's go / no-go decisions.
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An 8–4 km variable-resolution global model forecast of one of the strongest cyclones ever to hit India's west coast — landfall predicted within a few kilometres of the best track, more accurate than GFS.
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Supervised ML on ERA5-Land weather and MODIS burned area to forecast next-day wildfire occurrence — XGBoost hit 82.9% accuracy in under two minutes.
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3D numerical back-analysis of rainstorm-induced landslides with LS-DYNA — quantifying mobility and failure scenarios, and modelling the open-hillside-to-channelised-debris-flow transition to inform risk-reduction measures for government stakeholders.
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Programme management and commercial reporting backbone for Hong Kong's first utility-scale battery energy storage system — an eight sub-project portfolio at 2,000+ man-hours per month, with automation that cut reporting from days to minutes.
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Designed and built an internal platform (Power Apps, SharePoint, Power Automate, Power BI) that gives regional leadership a single real-time view of the BESS, offshore wind, solar and ammonia pipeline — replacing spreadsheet tracking.
Read case study →Two-plus years across Arup Taipei and Arup Hong Kong, plus research and software roles in Hong Kong, the United States and beyond.
Offshore wind FEED, subsea cable geotechnics and cable burial risk.
Energy and renewable investments — BESS programme management, digital PM and finance tools, technical due diligence and landslide back-analysis.
Atmospheric chemistry — spatial analysis of global and seasonal H₂O₂ distributions and numerical model runs — Pasadena, USA.
Numerical weather prediction — back-analysis of tropical cyclone Tauktae with the CPAS model.
Fintech — interactive stock analytics web platform (AngularJS, MySQL, JavaScript).
Severe weather — spatiotemporal CNN models on radar imagery for intense wind-gust early warning.
Focus in data analysis and modelling in Earth sciences, meteorology, and environmental remote sensing.