My Expertise
Mission-driven machine learning engineer and Python developer with 4+ years of experience building E2E ML pipelines and data infrastructures. My skills and interests lie at the intersection of software development, machine learning, data engineering, and cloud development to unlock content and deliver insights from imagery and geospatial datasets. Currently working on building novel AI/ML solutions to map and monitor the planet's forests 🌳
Development
Expert Python developer with a background in other programming languages such as SQL, Rust, Go, C++, Ruby, HTML, and JavaScript.
Cloud Computing
Experience leveraging AWS and GCS cloud computing tools (storage, EC2s/VMs, lambdas) and Kubernetes for cloud deployments and orchestration.
Machine Learning
Effective command Python packages such as PyTorch, Keras, TensorFlow, ScikitLearn, and SciPy to build, train, and test machine learning models.
Data Analysis
Combined with an educational background in statistics, skilled at leveraging Python data libraries such as Numpy and Xarray to analyze vector and raster data.
Geospatial
Adept at leveraging GDAL, QGIS, and Python packages (e.g. GeoPandas, Shapely, Rasterio, Rioxarray) to gain insights from raster data sourced from satellite and ariel imagery.
MLOps
Ample experience using 3rd party MLOps tools (e.g. MlFlow, Neptune.ai, and KubeFlow) to track model inputs, training, testing, and deployment.