Medical Engineer

SRIRAVALI KAMTHAMRAJU

**** * ********** *****, *****, AZ-85281

602-***-**** https://www.linkedin.com/in/sriravali-789429bb ********@***.*** PROFESSIONAL SUMMARY:

Graduate biomedical engineer seeking full time positions in design and new product development that will utilize my knowledge and skills that are essential for innovation in the healthcare industry. Dedicated and enthusiastic engineer with extensive experience in medical device development, Geometric dimensioning and toreance, design control procedures and statistical analysis. EDUCATION:

Master of Science – Biomedical Engineering May 2017 Arizona State University, Tempe, AZ

Relevant coursework Biomedical Device Design, FDA Regulations, Human Factors, Cyber Biomedical Systems, Personal Sensors for Health, Design and Analysis of Experiments,

Bachelor of Engineering – Medical Electronics, May 2015 M.S. Ramaiah Institute of Technology, Bangalore, India Relevant coursework Control systems, Biomechanics, Biomaterials, Human Anatomy and Physiology, Microcontrollers, Medical Imaging Systems, Neural Networks, Digital Signal Processing, Digital Image Processing KNOWLEDGE AREA AND SKILL SETS:

Simulation and CAD tools: Solidworks, Simulink, LabView, Ansys Programming Languages: Python, MATLAB Standards/regulations: FDA regulations, GMP regulations, ASME y14.5 Statistical tools: JMP, SPSS Other skills: ITK and VTK (Insight Segmentation and registration toolkit, The Visualization toolkit), Programmable System on Chip (PSoC) PROFESSIONAL EXPERIENCE:

Summer Research Intern, Omya Healthcare, Bangalore Fall 2014

• Performed a feasibility study by evaluating basic functionality of ventilators, infusion & syringe pumps, and ultrasound machines

• Conducted a bottom-up analysis of the various components within the circuitry of patient monitoring systems

• Characterized two different patient monitoring systems based on their design, functionality, and response times Graduate Research Assistant, BIRTH lab (Bio-Inspired Robotics, Technology, and Healthcare Lab) Spring 2016

• Performed literature survey regarding the potential of untethered micro robots maneuvering in the human body

• Explored the plethora of nanorobotic drug delivery methods and swarm nanobots

• Brainstormed designs of existing devices to measure body vitals Graduate Research Assistant, Dept. of Biomedical Informatics, Mayo Clinic, Scottsdale Spring 2017

• Trained and tested a convolutional neural network using Caffe deep learning framework to detect the region of interest in the common carotid artery

• Improved the performance of a 16 layered VGGnet using 144 frames for training and 126 frames for testing with Python and Caffe

• Analyzed the behavior and evaluated the performance of the network using receiver operating characteristics ACADEMIC EXPERIENCE:

Design of ergonomic limb lengthening device Fall 2015

• Presented an ergonomic and economical design for internal limb lengthening based on the principle of distraction osteogenesis

• Performed a literature survey of existing methods and concepts

• Conceptualized and designed alternative methods using solenoids and shape memory actuators with Solidworks Stress analysis of dental implants Spring 2016

• Used Latin hyper cube design methodology (JMP) to sample load magnitude and loading angle

• Performed finite element analysis to compute Von-mises stress as the response variable using ANSYS Developing a regulatory plan for a new medical device Spring 2016

• Determined the testing steps required before filing an application to market the product

• Discussed the considerations for classifying the medical device and the how best to evaluate product safety

• Formulated standard operating procedures

Modification of a cart using Inverted pendulum with linear quadratic regulator Fall 2015

• Developed an optimized cart using an inverted pendulum with a linear quadratic regulator for transporting patients without sensory feedback

• Modeled the neuromuscular system using Simulink

Automated Imaging System for Renal Biopsy Spring 2015

• Visually tracked the kidney cortex in ultrasound frames

• Directed the needle to the biopsy excision site automatically chosen in relation to the position of the kidney’s medulla Identifying Mycobacterium tuberculosis from sputum smears Fall 2016

• Identified mycobacterium tuberculosis bacilli to monitor the progress of tuberculosis

• Developed image processing techniques to detect tuberculosis bacilli based on cell size, shape, and color using MATLAB

• Evaluated cell count using the techniques of edge detection and centroid identification Extraction of EOG signal from EEG Fall 2013

• Undertook deep dive study of noise removal from EEG for Brain Computer Interface, by applying DSP methodologies and analyzing EEG signals using MATLAB

• Eliminated the EOG artifacts using low pass filtering techniques

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