Jarrod Wong

- Directed technical work for the Science and Engineering team of 10-12 with 5-6 direct reports - Owned Product Roadmap and aligned deliverables with key stakeholders for the release of new products including expansion of the 30m AGBD Global Time Series to 24 years, building a new 10m Global AGBD Product, creating a new Forest/Non-Forest Product - Mentored team members through the entirety of the software lifecycle for multiple new products and services from design to deployment on production resources - Scaled distributed data processing architecture to the multi-petabyte scale across 10,000 + concurrent CPUs

- Led the development of the MVP Software Product to measure Above Ground Biomass Density globally at 30m over a 9-year time series using a Distributed Monolith Architecture deployed on AWS and Kubernetes - Championed modern development processes including Agile, DevOps, MLOps and distributed cloud computing - Built ETL Pipelines for the ingestion of multi-terabyte Earth Observation imagery across 20+ year time series - Worked closely with Data Scientists to efficiently generate and deliver insights from custom machine learning models

- Led a multi-disciplinary team of scientists and engineers to deliver a cloud-native scientific modeling and visualization application to our customers leveraging AWS and Kubernetes - Designed and built serverless architectures on AWS for running scientific models and delivering data to customers - Managed the AER GitLab, and GitLab Runners enabling teams across the company to deploy code and infrastructure on internal CICD pipelines - Regularly presented at a company-wide "Learn at Lunch" on SWE and DevOps topics

- Worked on a small, Agile team, fulfilling roles across the technology stack in order to efficiently deliver products - Processed multi-terabyte weather datasets on both AWS Batch and a Dask cluster deployed on Kubernetes - Implemented crucial scientific and algorithmic microservices for a geospatial modeling system - Developed front ends for user input and the visualization of outputs from scientific models - Updated scientific models, patched various bugs, and implemented test cases in the previous Java release

- Spearheaded the efforts of transitioning to Cesium 3d Globe Viewer from the deprecated Google Earth API - Created a dual screen user interface between Cesium and KrPano Panorama Image Viewer in JavaScript - Initiated the use of a Virtual Linux Machine to produce high definition imagery tiles and smooth terrain tiles from satellite imagery and height maps

- Used troubleshooting techniques to handle case calls in a support capacity - Reported and tested software updates for quality assurance - Oversaw an SQL database and ensured maximum availability, logging into the database and entering SQL commands to fix any discrepancies