Developed a service to parse and index PDF documents with high fidelity. Implemented and tested document layout analysis algorithms to improve the classification of header, paragraph, and table text. This significantly improved the search quality of the product.

Lead On-Prem installations for clients and customized deployments for restrictive environments. Prepared installations by simulating client environments. Designed deployment scripts for regular updates and roll-outs.

Designed and Implemented a Search Flagging and Approval System to track regressions and improvements in search quality. This guided the development when testing new changes to the Search Engine pipeline.

Designed and Developed back-end APIs with Python and Swagger.

Developed front-end features with React and ANTD.

Maintained and debugged CI/CD pipelines with Github Actions, Docker, Kubernetes, and GCP/Azure.

Developed a machine learning solution using Stochastic Gradient Descent regression for predicting memory storage usage over time using Apache Spark with Scala

Developed a Python script that generated JSON files for driving Prometheus UI unit testing

Evaluated various de-compiler tools for analyzing the cloud suitability of .NET applications

Wrote analytical programs for a chemical engineering research lab at NJIT in MATLAB that researched the use of carbon nanotubes for filtering water