Creating and developing innovative software solutions for clients across a broad range of industries.

Participate in scrums consisting of cross-functional teams, both software and hardware.

Ensure that features are being delivered efficiently and on-time.

Develop and deliver machine learning models and software components that solve real-world problems for PNC.

Leverage deployment best practices to ensure successful deployment of machine learning models and application code on solutions.

Research and implement machine learning algorithms and tools on projects.

Designed and developed a new data processing architecture for Gecko's inspection technology - introducing GCP and other solutions.

Developed several Flask app engines on Gecko's services and implemented a multi-schema solution to manage inspection data.

Implemented improvements on the cloud data processing pipeline - handling deployments and automation processes.

Built, enhanced and deployed several data processing utilities on projects - working within technical specifications and requirements.

Acted as a point of contact for technical issues on projects - coordinating and recommending solutions.

Led code reviews and approved pull requests on projects - evangelizing industry standards and best practices on solutions.

Contributed to the implementation of the neural network infrastructure for Honeywell's speech recognition solution.

Participated in processes to implement new neural solutions and convert Unix scripts to Perl.

Identified complex bugs and provided suitable solutions to resolve them on the project.