Machine Intelligence projects

Feature development and ongoing application and operational support on distributed application with a microservice architecturePrototyped, advocated and executed on transition to a terraformed Airflow deployment for ETL and operational pipelinesAuthor and apply infrastructure as code solutions for AWS cloud resource provisioning using industry best practicesMentor more junior developers and data scientists with respect to database schema design, application architecture, git best practices, devops, data quality, personal development, and business orientation

Maintained and improved a codebase associated with an external acquisitionSupport a team of Data Scientists with development and engineering tools and trainingArchitect, build, and maintain a platform to expose trained models via a webserviceImprove/automate ad-hoc data science activities such as training models and evaluating model quality

Developed a python ETL system to perform in memory and in database transformations to ingest client's externally sourced workers compensation insurance data.

Maintain internal platform for incorporating industry business rules into the application.Monitor and improve application performance via caching, parallelization, and query optimization.Implement new features both in the backend (Perl) and the frontend (HTML, CSS, JS).Design and implement APIs for internal stakeholders

Managed a queue of work flowing into the team, identifying trends and assigning work to optimize client experience and internal efficiency.Performed codechecks for product changes made by non-developer team members.Offered guidance and input with respect to product updates to meet industry and client needs.Created reporting tools using Perl web frameworks for internal stakeholders.Developed algorithms for parsing structured data and unstructured text to improve visibility of team practices and software issue root-causes.Wrote SQL queries to asses the impact of proposed product changes.Developed Python tools for data analysis teams.Championed Python for analytics work and implement set-up training and best practices.

Investigated customer issues through industry research and software problem solving. Write software update specifications and perform functional testing.

Conducted laboratory mixing, curing, and testing of fluoroelastomer compounds, compound design, and research and development for compound and analytical techniques.Conducted pilot runs on an FEP wire extruder, assessing different tooling and processing conditions.Developed a color matching capability and create laboratory mixing and testing best practices for consumer product rubber applications.

Executed tasks in the batch production of whiskey including milling and cooking of grain.Preparation of proprietary recipes.Record keeping related to process streams.

Analyzed sediment samples for calcium carbonate content using a CO2 coulometer.Prepared sediment samples for mass spectrometric analysis via a multi-step separation process