• Web development experience using Python, React, SQL, and Node.

• Cloud development experience, including AWS RDS PostgreSQL Database deployment and migration, Elastic Beanstalk app deployment, Batch, Lambda, EC2, etc.

• Built out scalable, portable bioinformatic pipelines using nextflow.

• Single cell sequencing analyses using kmer based methods.

• Image processing for nucleus segmentation.

• Tool building including building GUIs for machine interfaces, and histology H&E stain processing and annotation.

• Rust development experience for demuxing sequencing applications.

• Raspberry Pi/ Microcomputer development experience, including building a prototype 96 well plate scanner using image processing with OpenCV.

• Developed clustering model with python sklearn for retail data to predict popular style and size models for new store locations.

• Created Interactive Dashboards using Flask and Plotly Dash to help end users interact with live data.

• Used Python unittest framework to test optimization model inputs and outputs to verify data integrity and minimize edge case interference

• Deployed Applications with Docker and Domino Data Lab Containers.

• Lead Development of Data Pipelines which included using Apache Airflow for monitoring pipeline progress, Celery for asynchronous tasks, and Rabbit MQ for messaging.

Lead development of a single cell sequencing data visualization portal for bench scientists to interactively view and save data and visualizations. Progressing research and discovery by allowing scientists to easily sift through large amounts of data, likewise giving scientists a platform to actively collaborate and share data and visualizations.

Developed interactive visualizations for bench scientists involving dimensionality reduction and principal component analysis in aid to characterize cancerous cell drug resistance.

Front end and back end development experience using AWS, PostgreSQL, Django, Celery, Javascript, HTML, CSS, Docker.

Gained presentation experience and lead live demos.