· Led technical delivery of proof of concept AI applications, working in a cross-functional team with solution leaders, data scientists, and UX designers to address key business challenges.

· Owned full stack development with responsibilities ranging from designing database schema, implementing ETL data integration pipelines, creating user workflows, and building the UI.

· Directed data integration effort on Shell Corrosion Advanced Risk Modeling and Analytics, guiding team on data modeling and integration on the C3 platform. Project prevents operational inefficiencies through early detection of failure events at scale, saving Shell tens of millions dollars annually.

· Integrated Google Cloud Client service into C3’s financial application, creating a new workflow that uses Google Cloud’s AI APIs to aid underwriting and flagging credit risks.

· Developed REST APIs for custom data aggregation and visualization logic using Javascript and Python. These were used in custom UI components built using React to enable new user workflows.

· Implemented and owned an EHR visualization web application to facilitate physician-patient interactions with an Agile team over ten weeks. Took full ownership of the solution from market research, tech stack, implementation, and presentation.

· Built the project on Spring Framework and connected to a MySQL database.

· Implemented EHR parsing and web scraping for medication descriptions using Java.

· Created corresponding UI components to view the data in React.

· Tested software platform used to store MRI scans into patient database.

· Updated cutting guide SQL database after working on a method to systematically rescale them.

· Designed a process to automate reading cutting guide blueprints and entering new schematics into database.

· Developed a novel method of visualizing olfactory bulb receptors using a modified in situ hybridization probe resulting in more accurate receptor detection. A modified probe was used to visualize receptors on an olfactory bulb and results were tested against a sequencing map.

· Designed genetically modified mice as a model animal for future researchers to study lemur olfactory genes. Used BAC to insert lemur olfactory genes within mice and PCR to verify the genes were expressed.