I am working with a team of 8 to research the improvement of standard AI model detection rates for Non-Small Cell Lung Cancer. Our goal is to develop a low cost model that beats the current standard detection rates. We are working with the distinguished Dr. Soheil Feizi and the UMD Computer Science department to develop our model.

• Mentored Edlyft Cohorts of undergraduate students in advanced level Object Oriented Programming in Java• Designed technical lesson plans, homework, practice problems, and testing prep to maximize engagement and retention, which increased student’s grades by an average of 23% this past semester.• Collaborated with CTO and CEO on a weekly basis to develop strategic initiatives for Edlyft’s UMD division

• Constructed a live analytical dashboard to read DIS simulation data using ELK stack. Dashboard and custom visualization were created with Kibana and Vega while data was processed through Elasticsearch and Logstash• Developed an ActiveMQ listener python script that takes DIS packets outputted by Lockheed simulations and formats them into Elasticsearch readable JSON format using the STOMP.py library and Apache ActiveMQ Artemis• Incorporated script into production pipeline hosted on AWS using Kubernetes with successful deployment into a Docker container

• Analyzed current Facebook and Google Business engagement trends for Score Association’s 256 offices using OLS regression models through Pandas, Statsmodel, and Sklearn• Utilized Natural Language Processing and Sentiment Analysis to optimize post retention by using Score’s data set consisting of over 100,000 observations using NumPy, Matplotlib, NLTK, and Seaborn • Produced regional and national recommendations to improve engagement by up to 14% using Figma and Canva

Consulted with the Gossett Center for Academic & Personal Excellence and Assistant Director of Athletics at UMD to create a streamlined process for student-athlete exam/project makeups. Automated the process of signing up athletes for remote exams. Currently, my teams process is being used for all varsity sportst at UMD

Emergency Medical Technician of the Germantown Volunteer Fire Department.165 Hours of training in emergency and trauma care.Over 400 hours of volunteer service at the department.Responsible for leading a crew of 4 during emergency medical calls/situations.