CHAITRA SRIDHAR

Cell:+1-628-***-**** Email: addyi4@r.postjobfree.com

Authorization: H4 EAD – No Visa sponsorship required San Francisco-CA Linkedin: https://www.linkedin.com/in/chaitra-sridhar/ SUMMARY

Software Engineer with experience in development and testing of patient monitoring device. Published papers on classification of cardiac diseases and review of neural disorder (ADHD). In addition, has practical understanding towards biomedical signal processing, data acquisition and classification.

TECHNICAL SKILLS

• Languages: Java, Python, VB.NET, MATLAB, C and C#. Basic Knowledge of SPSS, VB6, Verilog and Pspice.

• Database: SQL

• Writing Skills: Technical Writing, Research, Editing.

• MS Office: Word, Excel, Power Point

EDUCATION

• M.Tech – Manipal Institute of Technology [2016]

Major: Biomedical Engineering – 4.3 GPA

• B.E – Visvesvaraya Technological University [2014] Major: Electronics and Communication Engineering – 4.1 GPA WORK EXPERIENCE

Relocated to US & was waiting for work permit July 2019 - April 2020 Software Developer, September 2016- June 2019

Schiller Healthcare India Pvt Ltd – Bangalore

Responsibilities:

• Developed patient monitoring ECG device to calculate heart rate, blood pressure trend and ST analysis using tools like JAVA.

• Developed filters using MATLAB tool to eliminate noise from ECG signals.

• Designed new algorithms to calculate ST trends relating to stage wise & recovery phase.

• Implemented software modules to print patient ECG signals, Blood pressure and Heart Rate reports.

• Build components to consume patient data using SQL

• Knowledge in using communication protocols like RS232 and USB.

• Basic knowledge of using industrial automation equipments like analog to digital converter and encoders.

• Experience creating technical design and architectural guides, with visual diagrams, data flows and illustrations.

• Testing of Stress Monitoring- ECG device software.

• Ability to work independently with minimal supervision, and as part of a team. Medical Writer, March 2015- September 2017

Manipal Institute of technology- Manipal University

• Experience in developing scientific publications (specifically: posters, abstracts, manuscripts, and presentations)

• Authored clinical documentations to classify cardiovascular diseases, pediatric and adult neurology (ADHD).

• Conducts interviews with various users and technical staff to gather data for documentation.

• Collaborated across different departments to collect ECG data and produce high quality document.

• Experience in writing, editing and formatting Clinical Evaluation Report (CER) and Standard Operating Procedure(SOP) and user manuals

• Proficiency in Internet and PubMed searches.

• Reviewed and edited documents authored internally

• Experience in using image editing tools like photoshop and corel draw

• Proficiency in the use of MS Word, PowerPoint, and Excel. Publications:

• C.Sridhar, U.R Acharya, H, Fujita, M. Bairy, “Automated diagnosis of Coronary Artery Disease using nonlinear features extracted from ECG signals”, IEEE International Conference on Systems, Man, and Cybernetics (SMC), Budapest- Hungary, 9-12 October 2016.

• C.Sridhar, S. Bhat, U.R Acharya, H.Adeli, G.M. Bairy, “ Diagnosis of attention deficit hyperactivity disorder using imaging and signal processing technique”, Computer Biology and Medicine, September 2017, Vol 88, Pg. 93-99.

• C. Sridhar, J.Koh, E.J. Ciaccio, U.R Acharya, “Automated Detection of Myocardial Infarction Using ECG Signals: A Review”Artificial Intelligence in Medicine, October 2019. Poster presentation on “ Automated diagnosis of Coronary Artery Disease using nonlinear features extracted from ECG signals” at Manipal Research Colloquium 2016.

Master Thesis, August 2015- July 2016

Manipal Institute of technology- Manipal University

• Build Computer Aided Diagnostic tools using MATLAB to classify three different ECG signals.

• Used various feature extraction techniques to extract significant features and different classifiers to classify these signals.

• Developed an algorithm to find largest peaks in the ECG signals and segment the beats accordingly.

• Experience in MATLAB for signal processing and statistical analysis.

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