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John Mosheim is a licensed professional engineer and certified energy manager with over 30 years of experience in energy systems, infrastructure, water, mining, and GHG strategy. Mr. Mosheim manages the GHG Engineering team, delivering high-performance outcomes on renewable energy and transmission siting projects across Maryland and beyond.
Mr. Mosheim is leading the firm’s transition to AI-enabled workflows, with a focus on locally run large language models (LLMs) to ensure data privacy, enable retrieval-augmented generation (RAG), automate Python-based scripting, and streamline spatial data processing using both commercial and open-source platforms. His most recent work relates to the application of IBM Granite small LLM models.
His work also includes leading CPCN socioeconomic evaluations for large utility-scale solar PV and transmission line projects, preparing Project Assessment Reports and Recommended Licensing Conditions, and conducting integrated analyses of land use, visibility, glare, transportation, and socioeconomic impacts. He leverages tools such as LLMs, ForgeSolar glare prediction software, ArcGIS Pro, EPA AVERT, NREL JEDI energy generation models, and Excel-based decision frameworks to support permitting, socioeconomic impact assessments, regulatory compliance, and infrastructure planning.
He applies these tools to streamline regulatory review and accelerate technical deliverables. He has overseen QA programs for major infrastructure projects, including the Amtrak B&P Tunnel and Montebello Water Filtration Plant, and served as a third-party engineer under the U.S. EPA Renewable Fuel Standard, validating renewable natural gas and power facilities across four states. His carbon market expertise spans project verification and validation for over 3 million metric tonnes of CO₂eq reductions, and he recently resolved critical permitting challenges for a 137 MWAC solar-plus-storage project in California.
Mr. Mosheim contributed to Maryland’s Commission on Climate Change by leading efforts to integrate low-carbon fuels and position agriculture as a climate solution sector. He brings a rare blend of engineering, scientific, and business acumen through degrees in Chemical Engineering, Geology, and Management from Harvard, alongside specialized training in GIS, quality assurance, and generative AI from MIT.
His multidisciplinary background enables integrated, automation-driven solutions across infrastructure, environmental strategy, and digital transformation—positioning him as a strategic asset to Guidehouse teams at the intersection of climate, energy, and data systems.
Mr. Mosheim is leading the firm’s transition to AI-enabled workflows, with a focus on locally run large language models (LLMs) to ensure data privacy, enable retrieval-augmented generation (RAG), automate Python-based scripting, and streamline spatial data processing using both commercial and open-source platforms. His most recent work relates to the application of IBM Granite small LLM models.
His work also includes leading CPCN socioeconomic evaluations for large utility-scale solar PV and transmission line projects, preparing Project Assessment Reports and Recommended Licensing Conditions, and conducting integrated analyses of land use, visibility, glare, transportation, and socioeconomic impacts. He leverages tools such as LLMs, ForgeSolar glare prediction software, ArcGIS Pro, EPA AVERT, NREL JEDI energy generation models, and Excel-based decision frameworks to support permitting, socioeconomic impact assessments, regulatory compliance, and infrastructure planning.
He applies these tools to streamline regulatory review and accelerate technical deliverables. He has overseen QA programs for major infrastructure projects, including the Amtrak B&P Tunnel and Montebello Water Filtration Plant, and served as a third-party engineer under the U.S. EPA Renewable Fuel Standard, validating renewable natural gas and power facilities across four states. His carbon market expertise spans project verification and validation for over 3 million metric tonnes of CO₂eq reductions, and he recently resolved critical permitting challenges for a 137 MWAC solar-plus-storage project in California.
Mr. Mosheim contributed to Maryland’s Commission on Climate Change by leading efforts to integrate low-carbon fuels and position agriculture as a climate solution sector. He brings a rare blend of engineering, scientific, and business acumen through degrees in Chemical Engineering, Geology, and Management from Harvard, alongside specialized training in GIS, quality assurance, and generative AI from MIT.
His multidisciplinary background enables integrated, automation-driven solutions across infrastructure, environmental strategy, and digital transformation—positioning him as a strategic asset to Guidehouse teams at the intersection of climate, energy, and data systems.