Collaborating with world-renowned geologists and data scientists to find critical battery mineral resources, with a focus on data engineering and making data more integrated and accessible to internal exploration teams.Major software projects I've lead or contributed heavily to (with full-stack development across the board):- A scalable geospatial data platform (with a UI and API) built with open-source tools such as PostgreSQL, GDAL, QGIS, Django, Django REST Framework, Pydantic, Leaflet, and GeoPandas; leverages cloud-native raster and vector data formats for high-performance data access.- A mineral exploration data taxonomy system for enriched data comprehension and discovery.- A scalable document processing pipeline and full-text search search system for a wide variety of file formats, built with pub/sub components and OpenSearch.- Rapid internal app development using Streamlit and Jupyter notebooks, and related research projects for AI-enhanced mineral exploration.- Experiments with multimodal LLMs for delivering geological insights, from images and text.I also mentor and lead software teams, and help junior engineers develop their engineering skillsets while building systems like those described above.

Building backend components of products that collect data from enterprise data sources into Onna's knowledge integration platform for use in multiple customer-facing applications. Serving as agile squad leader with a Scrum-based approach to iterative processes and improvement. Organizing internal data science/machine learning (ML) meetups and helping foster conversations/education about related data-centric topics.

• Part of Agari's data science team, in an engineering + ML engineer capacity.• Validating and deploying classification and scoring components of cloud-based (AWS) email phishing defense pipeline.• Developing and deploying net-new RESTful services to Kubernetes for ML model prediction applications.• Serving as data science team Scrum Master by facilitating Scrum events + introspection + adaptation, promoting Scrum values, and collaborating with stakeholders.

Turning data science into automation + efficiency gains for Fortune 500 and enterprise clients.I work directly with our team of experts in artificial intelligence, data science, and machine learning to help create and deploy solutions to challenging, real-world business problems.Areas of work include:• Listening to our data science team, so I can provide or create the right tooling + code to automate burdensome parts of the data science workflow.• Writing code in the trenches with our data scientists on client projects, particularly to enable experimentation, data/model versioning, model training, and deployment into self-documenting, schema-rich REST APIs.• Discussing software design, deployment, and integration needs with our customers.• Deploying trained models to customers and helping them evaluate their operational status and effectiveness over time.• Authoring company software development standards and guides, and delivering internal training sessions.• Delivering public software training sessions at our Infinia ML Machine Learning Bootcamp sessions, where I have instructed hundreds of attendees on how to create deep learning neural networks with TensorFlow and Keras.• Interviewing dozens of data scientists + engineers to grow our team.• Answering thought-bubble questions about software from anyone in the office.Technologies I've used the most at Infinia ML include:• Python 3.6 (lots of stdlib goodies, Pandas, PySpark, PyTorch, TensorFlow, Jupyter, Flask, Django, pytest)• JSON Schema• Docker• Kubernetes• AWS S3, Lambda, EC2, ECR, EKS (using Terraform)

Designed and developed Bronto's recommender system for including personalized product recommendations in cross-channel marketing messages. Developed scalable, multi-layered models and algorithms that solve various recommendation system challenges. Wrote in Java, Scala, Python, SQL, and bash. Technologies include Spring, MySQL, Apache Spark, Apache Solr, Jupyter/IPython, HDFS/Hadoop, memcached, Redis.

Designed, programmed, and tested software for globally recognized clients seeking RTI's unique combination of environmental science expertise and computer programming/data management capabilities. Applications include scientific models, cross-domain modeling systems, parallelized models, graphical user interface (GUI) tools, relational and NoSQL databases, data visualization tools, and server-side applications.

Coordinated with managers, team members and clients to deliver software products that investigate pressing scientific questions and advance research goals. Built on existing software development skills by integrating multiple software tracking, testing and deployment technologies to minimize risk and improve productivity.

BS Environmental Science with Distinction,Energy and Sustainability Concentration,Minor in Biology,Minor in Classical Humanities

Developing Energy Leaders Through Action (DELTA) is an internship program designed to develop a skilled workforce of trained professionals in energy fields. My internship focused on researching and implementing a greenhouse gas and criteria air pollutant emissions calculator application for Windows to quantify and report vehicle fuel emissions.

Academic intern through The University of North Carolina at Chapel Hill. Produced the Town of Carrboro's contribution to the Esri Community Maps Program. Transformed the town's geospatial data into an informative and visually pleasing basemap that is publicly accessible online. Used ArcGIS 10.0 suite.

Full-time assistant responsible for risk related information retrieval, storage and analysis.