East Brunswick, New Jersey, United States
As a Medical Device Specialist at Freyr Solutions, I analyzed and documented the clinical and technical aspects of medical devices for detecting leukemia and lymphoma, based on peer-reviewed articles and client requirements. I also examined the devices' performance and functionality using MS Excel and MS Word. I am currently pursuing a Master of Science in Biomedical Engineering at Wright State University, with a focus on medical devices and their design and development. I have a Bachelor of Engineering in Biomedical Engineering from Visvesvaraya Technological University, where I participated in multiple project exhibitions and competitions related to arrhythmia detection, heart beat sensing, and product analysis. I have a strong interest and skill in applying deep learning techniques to biomedical problems, such as differentiating between healthy and diseased lungs using IBM Cloud Platform and Python. I also have proficiency in Ansys Workbench, LabVIEW, and MATLAB, and a certification in Healthcare Management from Great Learning. I am motivated and aspiring to create user-centered and innovative product designs that will make a beneficial contribution to the healthcare sector. I have attention to detail, problem-solving, and collaboration skills that enable me to work effectively with diverse teams and stakeholders.
• Analyzed peer reviewed articles based on detection of Leukemia and Lymphoma by inspecting the cluster of differentiation of immune cells for the Life Science client. • Documented CPR (Clinical Procedure Report) and PSD (Product Search Document) on MS Excel and MS Word based on the peer reviewed articles about Lymphoma and Leukemia. • Examined the medical devices which are implemented to identify Leukemia and Lymphoma based on the cluster of differentiation of immune cells from the peer reviewed articles for the client.
• Assisted Senior Engineer in Preventive Maintenance by lubricating the motors in Hillrom beds, change of battery as well as change of SpO2 probe in Phillips Defibrillator and Patient Monitoring System. • Documented the report based on preventive maintenance on the medical device conditions listed by the hospital. • Analyzed different electrical parameters on ventilator, patient monitoring system and dialysis machine using electrical safety analyzer as a part of preventive maintenance.
• Developed a framework to train models to differentiate between healthy and diseased lungs using deep learning techniques to run on the IBM Cloud Platform. • Implemented sentiment analysis project using natural language processing in Python using Jupyter Notebook.