Hi, I’m Jon and I like computers, science, and surfing. I enjoy working at the intersection of software development and scientific research, and have a keen interest in backend systems design, cloud-native DevOps, and AI integration. I also have a dog named Peaches.

This page provides an at-a-glance overview of my technical skills and professional background. For details about my previous projects and tools used, visit my detailed CV page.

Technical Expertise

  • Core Programming Languages: Python, JavaScript, TypeScript, C#, R
  • Backend Technologies: FastAPI, Django, .NET, Apache, Nginx, RabbitMQ, Redis, Celery
  • Frontend Technologies: React, Recoil, TanStack
  • Cloud-Native Application Development and DevOps: Kubernetes (GKE and AKS), Azure, Google Cloud Platform, Docker, Jenkins, ArgoCD, Argo Workflows, Vault
  • Database Management: MySQL, SQLAlchemy, Alembic, MongoDB, Elastic Stack
  • Testing, Performance Monitoring & Optimization: Locust, Prometheus, Grafana, Promtail, PyTest
  • AI Integration and Intelligent Systems Design: LLM-orchestration tools design, OpenAI API, Claude API, various machine learning algorithms

Professional Timeline

2023 - present
Software Engineer, Metaspectral
Backend and DevOps developer for Fusion Platform Fusion, a cloud-based HSI data and integrate AI to enhance user interactions. Lead designer and developer of FusionAI, allowing integration of large language models in the platform.

2021 - 2023
Environmental Information Specialist, Hatfield Environmental Consultants
Developing in-house data management webapp, EnviroData, by designing, building, and maintaining microservices, integrating R-based workflows, and leading its migration to Azure.

2019 - 2021
Postdoc, Centre National de la Recherche Scientifique
Supervisor: Dr. Karine Sellegri
Topic: Modeling ocean biological production of atmospheric ice nucleating particles

2013 - 2018
PhD in Atmospheric and Physical Chemistry, UC San Diego
Center for Aerosol Impacts on Chemistry of the Environment
Supervisor: Prof. Vicki H. Grassian
Topic: Spectroscopic investigations into nascent and aged sea spray aerosol

2011 - 2013
MS in Atmospheric Science, North Carolina State University
Supervisor: Prof. Nicholas Meskhidze
Topic: Formation mechanisms of volatile organic compounds over remote marine regions

June - August 2010
Undergraduate Research Assistant in Machine Learning, University of Oklahoma
Supervisor: Prof. Amy McGovern
Topic: Predicting convectively induced turbulence using spatiotemporal random relational forests

June - August 2008 and 2009
Undergraduate Research Assistant in Atmospheric Science, Dordt University
Supervisor: Prof. Doug Allen
Topic: Analysis and modeling of the stratosphere above the polar arctic region

2007 - 2011
BA in Physics, Dordt University