Languages: Python3- Resolved critical vulnerabilities in pen testing and security scanning requiring thorough investigative work and documentation. Led the implementation for remediation of the vulnerabilities. - Implemented a complex audit log feature to keep company SOPS compliant.- Created a method of data engineering for customers to copy and extrapolate data points. Took over the project for a Senior Engineer which required me to lead the project to completion in under a week deadline. Successfully overcame numerous challenges with cross service communication, including the creation of new services with an extremely limited timeline to deliver.- Maintained HIPPA compliance by using Authy two-factor authentication to secure patient data. This improved the platform’s security and enhanced the overall user experience by providing an additional layer of protection against unauthorized access.- Worked on the original team that led a migration effort for our main software from Python2 to Python3. This achieved a more secure and efficient code base and involved heavy testing and delicate refactoring of our main software.

Languages: Golang, SQL- Spearheaded the development, maintenance, and optimization of global state management database using PostgreSQL and schema migrations. - Setup HIPAA-compliant security protocols for user access, which required data encryption and access control to ensure full compliance.- Effectively collaborated with the data science team to integrate patient data into machine learning models for predictive analytics.- Became the first engineer in the company to build and successfully maintain the Golang SDK (software development kit) setting the groundwork for the company’s future product offerings.

Languages: Python2, SQL- Supported the ingress/egress of sensitive patient health data using BigQuery APIs and jobs while ensuring strict HIPAA compliance through de-identification and data scrubbing.- Used Optical Character Recognition (OCR) to develop a system where we could gather information from fax images and input the information into a data cleaning pipeline for machine learning analytics.- Created interactive visualizations using Dash and Plotly to communicate key insights from Natural Language Processing (NLP) models trained on patient records.- Partnered with the data science team to build a generative adversarial network using Tensorflow/Keras that generated synthetic patient health records for use in training Natural Language Processing (NLP) models.