Engineer Medical Device, Medical Imaging, Quality Testing

POOJA RAMAKRISHNAN NAIR

832-***-**** *******************@*****.*** https://www.linkedin.com/in/poojanair06/ SUMMARY

Biomedical Engineer familiar with medical device design, instrumentation, signal/image processing, and clinical research. Experienced in neuroimaging studies, PCB & biosensor design, and quality testing. Advanced programming/CAD knowledge including MATLAB, C++, LabView, and SolidWorks. Knowledgeable of FDA and ISO standards. Solid educational background with degree in Electronics & Instrumentation and graduate Industrial scholarship. Highly motivated self-starter, and quick learner. EDUCATION

Masters in Biomedical Engineering University of Texas at Arlington, TX, USA GPA 4.0/4.0 May 2018 Bachelors in Electronics & Instrumentation University of Kerala, Kerala, India May 2015 SKILLS

Medical Imaging - fNIRS, EEG, fMRI, CT image processing Clinical Research - Brain function analysis

MATLAB, SPM, Brainstorm, Wavelet, EasyTopo, C++

Monte Carlo, Java, Python, LabView, SolidWorks

Medical Device Regulations, GMP, Failure Analysis, CAPA ISO 13485, ISO 14971, Quality Testing, Optimization Medical Devices: Orthopedic product design, Neuro-Imaging Statistical Analysis and Inference - MS Excel, R - programming Microcontroller, Arduino, Driver circuits, Sensors EAGLE PCB Design and Simulations, 3D Printing

EXPERIENCE

Graduate Research Assistant Optics & Neuroimaging Lab, The University of Texas at Arlington, TX, USA Jan 2017 – May 2018

• Facilitate more than four interdisciplinary neuroimaging and cognitive research projects – diagnostic and therapeutic.

• Design of experiments, IRB compliant protocols, tissue simulating optical phantoms, DOT, FEA, Spectroscopy.

• Develop efficient MATLAB programs for Wavelet Coherence Analysis, Correlation Analysis and Monte Carlo Simulations on EEG and fNIRS data to determine neurovascular coupling and functional connectivity of the brain.

• Prefrontal transcranial infrared laser stimulation (TILS) for hemodynamic study in PTSD patients.

• Improve laser stimulation studies by modifying probes and other hardware components using SolidWorks.

• Set strategic direction in assessing and interpreting large temporal clinical data-sets using statistical analysis, presentation of experimental results, and technical details, train research teams in novel processing techniques.

• Perform troubleshooting and quality checks for laboratory equipment worth $1M. Product Development Engineer Biomedical Technologies Division, UTA Research Institute, TX, USA Jun 2017 - Aug 2017

• Worked in a 4-member team for Design, Development and Testing of an Orthopedic Rehabilitation Device.

• Modified hardware components and assembled motion sensing harness to improve controller efficiency.

• Achieved 75% Space Optimization in the wrist board by developing a new PCB using PCB Design software EAGLE.

• Designed controller mounts using CAD Tools, Micro-controller Arduino MEGA in SPI configuration.

• Developed test cases, performed V&V testing, Quality assurance testing and FMEA.

• Identified cause of potential design failure - sensor orientation and support.

• Analyzed test data and maintained technical records for the device. Programmer Analyst Trainee, Cognizant Technology Solutions, Chennai, India Mar 2016 - Aug 2016

• Performed data-warehousing using ETL Tools, trained in customer engagement.

• Established an ERP system and maintained medical components database. RESEARCH AND PROJECTS

• MRI Image processing – MATLAB: Developed MATLAB codes for processing the given DICOM slices for intra cranial tumor isolation from healthy brain tissue. Image Segmentation, Region growing, Reconstruction, 2D and 3D Brain Plots

• Microsurgery for implanting 3D printed nerve conduit: Designed an optimum model for a nerve conduit using SOLIDWORKS, 3D printed the conduit and surgically implanted it to repair the damaged sciatic nerve in mice using a 7-0 suture.

• Point-of-care Biosensor for Hepatitis C: Designed a feasible point-of-care biosensor prototype using SolidWorks to detect HCV. Lateral flow immunoassays and microcontrollers are employed to give digital read out.

• Automated Water Leakage Detection System - Embedded C: Designed and tested an automated system which detects pipe leaks and automatically closes valves to prevent wastage of water. Microcontrollers, Transceivers, Sensors, Gear Motors, GPS Module

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