• Contribute to the development and maintenance of a new vehicle inventory application - a highly scalable distributed system comprised of over 20 microservices built in Java and utilizing Spring Boot, Kafka, and RESTful APIs while leveraging Azure, Docker, and Kubernetes for deployment, containerization, and management.

• Consistently deliver high-quality code, maintaining a rigorous standard of minimum 95% test coverage and 70% condition coverage in Unit Tests to guarantee reliability, reduce defects, and enhance overall software stability.

• Successfully identified and resolved complex software bugs by conducting thorough root cause analysis, demonstrating strong problem-solving skills and attention to detail, resulting in improved code quality and enhanced software reliability.

• Optimized efficiency of a microservice by 50% through strategic code refactoring and database query enhancements, significantly reducing processing time and enhancing overall performance.

• Collaborated with more than 5 cross-functional teams within an agile framework, fostering clear communication, swift issue resolution, and efficient alignment to achieve project milestones, mitigate risk, and deliver successful software solutions.

• Created and upheld a spectrum of project documents encompassing Spike Research findings, Knowledge Transfer materials, and Onboarding Instructions tailored for incoming team members.

• Proficiently processed and analyzed neuroimaging data for multiple sclerosis (MS) studies, employing advanced image processing techniques and software tools to extract meaningful insights, contributing to the understanding of MS pathophysiology and supporting evidence-based research outcomes

• Contributed to the development of the lab’s neuroimaging data processing pipeline, built using Python on Nipype’s data processing framework, creating new workflows and adding more methods for analyzing neuroimaging data for ongoing studies

• Developed efficient Python scripts to seamlessly import MRI data from external sources into the University's database, streamlining data acquisition and integration processes while ensuring data accuracy

• Provided quality assurance for various outputs of the lab’s neuroimaging data processing pipeline to ensure accurate results of findings for volumetric data from MRI scans of patients with Multiple Sclerosis

• Recruited patients and controls to participate as subjects for MRI research projects focused on neurodegenerative diseases

At this job, I used a high level of organizational and multitasking skills to balance many different responsibilities. Primary job duties include: creating and scheduling courses, hiring of course lecturers, scheduling appointments for the College Provost, updating and maintaining College Fellow relations. Secondary job duties include: updating the Cowell College website, collecting and organizing applications for student or faculty awards and recognitions, aiding in the coordination of events hosted by the college, and various other administrative tasks.