• Led a team of 5 in developing object detection models to localize abnormalities within chest X-rays• Designed a ResNet-50/EfficientNet concatenated backbone for traditional DETR transformer• Outperformed industry standard models like YOLOv7 and EfficientDet with customized DETR model• Comprehensively evaluated our custom model achieving an IOU score of 0.924 and an F2 score of 0.975

• Worked with a team to develop an object detection model that sought to detect and classify object through thermal cameras• Model maintained a Mean Average Precision score of 87.5% which was higher than other models • Presented findings to a panel of faculty members and industry leaders

• Taught and guided K-12 students through various programming projects while keeping up to date with the latest technology advancements and trends. Concepts that were taught included HTML, CSS, Java, Python, circuit design, drones, robotics, SSH, Scratch, Android, and Linux. • Worked with a team in a fast-paced environment to nurture a productive and efficient environment focused on the growth of students in varying life and computer science concepts• Researched and utilized behavior management strategies to decrease adverse interactions between students while developing a caring culture in the classroom • My instruction during summer classes led to an increase in fall camp sales

• Utilized Prolog and Python (along with associated libraries) to develop machine learning algorithms that utilize linear regression to solve and track varying health problems. These problems included cancer, sleep apnea, heart disease, obesity, and early recognition of progressive and genetic disorders• Learned about fundamental classical Machine Learning topics and widely used Deep Learning Technologies. This included regression analysis using Linear and Logistic Regression (LR) methods. Furthermore, I went over the classification studies on structure and unstructured datasets using LR methods along with Neural Networks and Convolutional Neural Networks. • I applied this knowledge to help develop medical imaging diagnostics, smart health records, and trackers for varying health problems.

• Experienced the day-to-day life of an IT Sr. Project Manager at Microsoft• Attended daily SCRUM calls, product backlog meetings, sprint planning meetings, and retrospective meetings• Project entailed developing predictive analysis and dashboards to determine trends between demographics and rates of abuse for the US Department of Health and Human Services using PowerBi