Authored Python microservices utilizing PostgreSQL and FastAPI to execute configurable scheduled and unscheduled data processing for ETL pipelines.

Implemented legacy migration from monolithic implementation of bottleneck inducing SQL scripts to faster asynchronous executions utilizing parallel worker services processing numpy and pandas operations.

Created and managed configurations for application environments with AWS Elastic Beanstalk as well corresponding network traffic security group configurations.

Built auxiliary tools for data extraction and anonymization for persistence layer mocking to facilitate development of automated pipelines for CI-CD.

Principle designer and developer of node microservices assigned to mining analytics for data processing and site management, and interfacing with internal prediction and external client services.

Implemented CI/CD pipeline expansions and Kubernetes deployment configuration for Azure deployments, integrating general application and client-specific manifests.

Created libraries for mining stockpile data geometric transformations and 3d visualizations using Python and Plotly for production application and internal and external demonstration.

As part of a team and in collaboration with stakeholders, contributed to the development of user-creatable live custom diagnostic and alert systems for industrial devices.

Development and architectural collaboration in microservices solution for mobile marketing message delivery platform built with Java Spring and Angular.

Principle development of Android application demonstrating biometric authentication for vehicle operation for display at Mobile World Congress 2019.

Prototyped and implemented UX and UI design for interaction with vehicle smart-dashboard operation.

Architected and built a custom Cucumber Selenium test framework and configured its utilization in a continuous integration pipeline for a telecommunication administrative platform.

Principle design and implementation of Python Django application employing proprietary predictive models for sales forecasting.

Designed and implemented interactive data visualizations using D3 and Plotly for utilization in various applications.

Assisted in development of Java JSP monolithic pharmaceutical application utilizing machine learning libraries for prediction and analysis of RNA secondary structures.

Assisted in development of Java employment software employing word2vec neural network models and database querying with Apache Solr.

Reconciled daily trading and general ledger activity as well as derivative security and corporate action execution for global mixed asset mutual funds' daily NAV valuations.

Implemented work efficiency improvements for accounting procedures including developing Excel macros for Bloomberg terminal operations.