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I am an AI Engineer and Python full-stack developer with experience in building, validating, and deploying machine learning and data automation solutions in AWS and Linux/HPC environments. I have a proven track record sourcing and processing large datasets from APIs and satellite archives, developing models with Keras and scikit-learn, and integrating ML components into cloud-hosted applications via APIs and embedded code. I am strong in Python, Bash, Git, automation, model testing/validation, documentation, and cross-functional delivery for mission-driven teams including NASA, NOAA, and commercial partners. I have collaborated across organizations to design repeatable experiments, automate data processing pipelines, and deliver production-ready analytics embedded within cloud applications. My background spans scientific computing, software engineering, and data engineering, enabling me to translate complex observations into robust, scalable solutions for government, research, and industry partners.…I am an AI Engineer and Python full-stack developer with experience in building, validating, and deploying machine learning and data automation solutions in AWS and Linux/HPC environments. I have a proven track record sourcing and processing large datasets from APIs and satellite archives, developing models with Keras and scikit-learn, and integrating ML components into cloud-hosted applications via APIs and embedded code. I am strong in Python, Bash, Git, automation, model testing/validation, documentation, and cross-functional delivery for mission-driven teams including NASA, NOAA, and commercial partners. I have collaborated across organizations to design repeatable experiments, automate data processing pipelines, and deliver production-ready analytics embedded within cloud applications. My background spans scientific computing, software engineering, and data engineering, enabling me to translate complex observations into robust, scalable solutions for government, research, and industry partners.

Jason Welsh

Web Developer, AI Engineer, Full Stack Developer, +2

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I am an AI Engineer and Python full-stack developer with experience in building, validating, and deploying machine learning and data automation solutions in AWS and Linux/HPC environments. I have a proven track record sourcing and processing large datasets from APIs and satellite archives, developing models with Keras and scikit-learn, and integrating ML components into cloud-hosted applications via APIs and embedded code. I am strong in Python, Bash, Git, automation, model testing/validation, documentation, and cross-functional delivery for mission-driven teams including NASA, NOAA, and commercial partners. I have collaborated across organizations to design repeatable experiments, automate data processing pipelines, and deliver production-ready analytics embedded within cloud applications. My background spans scientific computing, software engineering, and data engineering, enabling me to translate complex observations into robust, scalable solutions for government, research, and industry partners.…I am an AI Engineer and Python full-stack developer with experience in building, validating, and deploying machine learning and data automation solutions in AWS and Linux/HPC environments. I have a proven track record sourcing and processing large datasets from APIs and satellite archives, developing models with Keras and scikit-learn, and integrating ML components into cloud-hosted applications via APIs and embedded code. I am strong in Python, Bash, Git, automation, model testing/validation, documentation, and cross-functional delivery for mission-driven teams including NASA, NOAA, and commercial partners. I have collaborated across organizations to design repeatable experiments, automate data processing pipelines, and deliver production-ready analytics embedded within cloud applications. My background spans scientific computing, software engineering, and data engineering, enabling me to translate complex observations into robust, scalable solutions for government, research, and industry partners.

Available to hire

I am an AI Engineer and Python full-stack developer with experience in building, validating, and deploying machine learning and data automation solutions in AWS and Linux/HPC environments. I have a proven track record sourcing and processing large datasets from APIs and satellite archives, developing models with Keras and scikit-learn, and integrating ML components into cloud-hosted applications via APIs and embedded code. I am strong in Python, Bash, Git, automation, model testing/validation, documentation, and cross-functional delivery for mission-driven teams including NASA, NOAA, and commercial partners.

I have collaborated across organizations to design repeatable experiments, automate data processing pipelines, and deliver production-ready analytics embedded within cloud applications. My background spans scientific computing, software engineering, and data engineering, enabling me to translate complex observations into robust, scalable solutions for government, research, and industry partners.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Python Automation Developer at JorieAI

August 1, 2025 - Present

Develop automation driver scripts in Python to orchestrate OCR text-recognition workflows for production use, improving repeatability and reliability of model-driven pipelines. Implement logging, error handling, and validation checks to detect issues in model inference and data flows.

Software Engineer at NOAA / Lynker

June 1, 2024 - May 1, 2025

Performed data engineering and analysis leveraging extensive Bash scripting on Linux to automate large‑scale processing tasks for observational datasets. Maintained and extended Fortran‑based computational codes and pipelines to support reproducible, dependable workflows for downstream analysis. Validated processing outputs and supported debugging/issue resolution to ensure pipeline robustness in production environments.

Software Engineer — Machine Learning at NASA Goddard Space Flight Center / Carr Astronautics Corporation

August 1, 2022 - May 1, 2024

Developed machine learning models using Keras and scikit‑learn; designed training/validation/testing pipelines to enable repeatable experiments and measurable model performance. Implemented neural networks and deep learning architectures; documented model performance and prepared technical reports for stakeholders. Worked cross‑functionally to integrate ML outputs into scientific workflows and supported model testing/validation against established metrics.

Python Full-Stack Developer at Edwards, Valen, & Associates LLC

June 1, 2022 - Present

Built Python analytics and visualization components for a cloud-hosted application suite in AWS; automated data processing with Python and Shell on Linux; cleaned, normalized, and segmented raw datasets to prepare training and inference pipelines. Used Git/GitHub for branching, reviews, and collaborative development across Java, Python, Shell, and MATLAB.

Research Scientist at NASA Langley Research Center

May 1, 2021 - April 1, 2022

Built Python pipelines (NumPy, pandas, matplotlib) to ingest and analyze citizen science datasets from Zooniverse via JSON APIs; performed data cleaning and transformation for analysis and model input. Co‑led science working groups and partnered with data management to produce reference datasets supporting NASA Earth Science research. Documented processing steps and dataset schemas to support reproducibility and knowledge transfer across teams.

Postdoctoral Researcher at NASA Langley Research Center

August 1, 2019 - April 1, 2021

Developed and ran code on NASA HEC supercomputing resources; automated batch data processing for large satellite datasets to support model development and validation. Retrieved and processed NOAA CLASS and Earthdata archives (e.g., ATMS SATM, GATM; MERRA‑2) to prepare training and validation datasets; validated outputs with Fortran/MATLAB and statistical comparisons. Used GitHub for collaborative code management and reproducible installations of scientific tools.

Air Quality Intern at East-West Gateway Council of Governments

January 1, 2015 - December 1, 2015

Developed SAGGET (Small Area Greenhouse Gas Estimation Tool) in Python to convert MOVES2014 outputs into emissions estimates for user‑defined geographies. Used MySQL to analyze large emissions datasets and prepared data for visualization and stakeholder use.

Graduate Research Assistant at Saint Louis University

January 1, 2012 - May 1, 2017

Performed data analysis in Python; configured and executed atmospheric model runs and prepared model outputs for further analysis and visualization. Developed tools to convert model outputs into actionable datasets for research and stakeholder reporting.