Open to opportunities

Gabriel Moraga

@gabrielmoraga

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Founding software engineer specializing in AI forecasting and geospatial systems.

United States

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What I'm looking for

I seek roles building production ML/forecasting and geospatial systems, with opportunities to lead technical teams, mentor engineers, and deliver reliable, traceable pipelines in an operational or research-focused environment.

I am a software engineer and technical lead with deep experience building production AI forecasting systems, geospatial ETL pipelines, and hardened backend services. I have architected end-to-end forecasting workflows, automated large-scale ingest and regridding of GFS/ERA5/IFS data, and implemented reproducible global forecasting pipelines for operational 10-day rollouts.

I have led technical programs and mentored early-career engineers, productionized ML and mission software for research and operational contexts, and deployed AWS infrastructure (CDK, Docker, S3, Lambda, OpenSearch, Cognito) to support robust data and API services. My work emphasizes traceability, automated scoring/QC, and reliable service design to drive analytics and product outcomes.

Experience

Work history, roles, and key accomplishments

Founding Software Engineer

Nickel5 Inc.

Oct 2024 - Jan 2026 (1 year 3 months)

Architected and productionized an end-to-end AI forecasting system powering GAIA and WaHooPredict, implemented global forecasting pipelines for 10-day rollouts, and built scoring/QC and versioned artifacts to ensure traceability and reliable deployment.

Python fastAPI PostgreSQL Model Evaluation CI CD

Program Operations Lead

Laboratory for Atmospheric and Space Physics

Jan 2024 - Oct 2024 (9 months)

Co-led a technical cohort for 20+ early-career professionals, owned delivery operations and stakeholder coordination, and mentored participants in Python and applied ML to accelerate project completion.

Program Management Mentoring Python Applied Machine Learning Technical Writing

Research Software Engineer

Laboratory for Atmospheric and Space Physics

Jan 2020 - Jan 2024 (4 years)

Developed ML forecasting models and telemetry/metadata pipelines, transitioned to NASA instrument software work, and productionized AWS infrastructure for authenticated data APIs and indexing workflows.