● Designed, developed, and deployed platform infrastructure, including a data cluster to store all advertising data, an in-house job scheduling services to run ad campaigns, and microservices for authentication and data serving.

● Streamlined platform access by configuring a central authentication microservice to integrate external user bases and accept third-party JWTs with Java and Spring Boot, generating $1M in incremental revenue

● Automated enterprise account provisioning for clients including AD user creation, deployment of authentication credentials, and integration with stream processing pipelines—effectively eliminating client onboarding delay

● Slashed system downtime and increased user satisfaction by leading the implementation of alerting systems and proactively monitoring microservice health using Python and Grafana. Accelerated client onboarding by automating client creation, permissions assignment, and service setup.

● Protected business continuity and mitigated significant business and customer risks by writing scripts to periodically save backups and leading on-call incident response to eliminate threats using Hadoop and Linux.

● Performed switchovers for critical microservices to accelerate disaster response and improve redundancy.

● Analyzed medical images to determine tracer/drug efficacy for universities and biopharmaceutical companies.

● Generated high-quality images and uptake/concentration plots by performing rigorous data transformations, including hotel splitting, preprocessing, ROI segmentation, and dose calculation, using Python.

● Automated image processing workflows using Javascript to streamline the preparation of CT, PET, and MRI data.

● Orchestrated gamma counting studies, applied decay correction to raw gamma counts, and effectively compared uptake and concentration of radioactive isotopes in biological samples using Python for data processing.

• Modeled predictive maintenance for NASA turbofans via Kaggle using linear regression, random forests, and a dense Neural Network to best determine remaining fan life cycles (Python)

• Implemented a multi-processing shell with the ability to list, halt, slay, and continue processes, complete with signal handlers to respond to common keyboard interrupts (C++)

• Developed a multithreaded application for parsing web newsfeeds, storing tokens from each article into an index that was then used to query search terms (C++)

• Created an explicit heap allocator with first-fit malloc, free, and realloc functions that included support for immediate right coalescing as well as in-place reallocating (C)

• In progress – developing a social network application for nearby users of similar interests to chat and share ideas via Google’s Flutter SDK (Dart)

• Guided development of CFT imaging software that allowed users to: apply corrections to image data; display biological samples in 3 dimensions; generate various visualizations of samples

• Using this imaging software, created visualizations of biological samples from several institutions that were then used as supporting evidence in multiple publications

• Performed QA testing on software, identifying bugs to fix and features to improve upon

• Programmed proof of concept algorithms to fully automate CFT Reconstruction (MATLAB)

• Wrote various scripts to modify and correct image data, including a script that solved the challenge of generating 3D anatomical whitelight models (MATLAB/Python)

• Processed polyacrylamide gels to be used in experimentation for anti-jamming cancer drugs

• Innovated a unique method of shipping gels that allowed samples to be sent internationally

• Cataloged gels from years past to create a highly organized inventory still in use today

• Maintained stock of dozens of chemicals and materials while regulating and cleaning equipment

• Operated advanced microscope, assisting in research by marking locations of varying gel bead contrast