# Anuja Walke > Embedded Software Test Engineer at Avive Location: San Francisco, California, United States Profile: https://flows.cv/anujawalke Hello! I am interested in leveraging wearable sensor technology and health monitoring systems with data analytics to develop preventative healthcare solutions. I am seeking opportunities to work with like minded people that are passionate about innovative healthcare technology. I have a strong background in data analytics, machine learning theory, and biopotential processing (i.e E*Gs) as well as experience processing signals from novel wearable health sensors. My fields of interest are data science, statistics, machine learning, biosignal processing, and wearables. ## Work Experience ### Embedded Software Test Engineer @ Avive Solutions Inc. Jan 2023 – Present | San Francisco Bay Area ### System Test Engineer @ GraphWear Technologies Inc. Jan 2022 – Jan 2023 | San Francisco Bay Area • Work cross-functionally with Data, Quality, Software, Hardware, and Firmware teams in a start-up company to drive system integration of the non-invasive CGM (continuous glucose monitoring) product • Write user needs and system requirements for the CGM product • Write verification tests for the system requirements and execute tests. Utilize tools like a DMM and SQL to verify signal measurements and data records respectively • Test GraphWear app product for functionality bugs and submit defect reports to Software team • Test system-level integration (apps, CGM device, cloud architecture) and submit defect reports • Document system use-cases and identify failure-modes for testing • Write Work Instructions for process tasks like Device Management in clinical trials • Support Data team with data analysis efforts and maintain the interactive dashboard of signal performance metrics ### Biosignal Engineer @ GraphWear Technologies Inc. Jan 2021 – Jan 2022 | San Francisco Bay Area • Analyze glucose timeseries signals generated by GraphWear sensor relative to a gold standard reference and competing CGM systems • Use the DSP (digital signal processing) algorithm stack to convert voltage signals to calibrated plasma glucose concentrations • Use Git-based tools SourceTree and BitBucket to add calculation and visualization tools, as well as signal correction algorithms to master branch • Create an interactive dashboard with Plotly Dash for executive team to view real-time distribution analysis of data • Analyze key metrics that describe signal quality and data compliance to FDA iCGM standards by generating 2D and 3D data visualizations in Plotly by various category groupings • Understand database architecture and collaborate with Data Engineers to address data requirements (e.g. type, format) for effective data analysis. Ensure database adjustments are stable across the system (app, cloud, devices) ### Data Science & Machine Learning Intern @ Advanced Continuing Education Association (ACEA) Jan 2021 – Jan 2021 | Boston, Massachusetts, United States • Used the Python web-crawling framework Scrapy with CSS to extract CE (continuing education) course information from up to twenty providers • Cleaned and standardized scraped data to optimize inputs to Recommendation Engine in CE App • Compared NLP (Natural Language Processing) models TF-IDF, Word2vec, and BERT for Recommendation Engine in CE App • Used MLflow to track NLP model changes and assess model performance ### UCSD Neural Interaction Lab @ University of California, San Diego - Jacobs School of Engineering Jan 2020 – Jan 2021 | La Jolla, CA • I am the 2nd author of a paper published in Sensors (basel) peer-reviewed journal which expands on the concepts explored in my Masters thesis (see Publications) • Completed thesis on novel gut-brain PAC (phase amplitude coupling) to understand the association of visceral states and cognitive performance • Analyzed EEG (electroencephalogram) and EGG (electrogastrogram) data using Python data science & visualization libraries NumPy, SciPy, Pandas, Scikit-learn, and matplotlib to identify periods of inter-signal modulation • Processed timeseries data using filtering, Hilbert transform, and spectral analyses to isolate low-frequency gastric signals and high-frequency EEG signals • Led weekly meetings between project collaborators ### Teaching Assistant for Principles of Bioinstrumentation Design (BENG 186b) @ UC San Diego Jan 2021 – Jan 2021 | La Jolla, CA • Reviewed course material in bioinstrumentation design including circuit solving, strain transducers, operational amplifiers, instrumentational amplifiers, EKGs, pulse oximetry, and electrochemical biosensors • Held individual consultation hours once a week to go over student questions on the homework and/or class material • Led weekly problem solving sessions with 2 other teaching assistants • Graded over 500 student submissions ### Teaching Assistant for Measurements, Statistics, and Probability (BENG 134) @ UC San Diego Jan 2020 – Jan 2020 | La Jolla, CA • Held weekly individual discussion section to review class topics in linear algebra, linear & logistic regression, hypothesis testing, goodness of fit, and Bayesian statistics • Graded over 100 student assignment submissions ### Senior Design Project @ University of California, San Diego - Jacobs School of Engineering Jan 2019 – Jan 2020 | La Jolla, CA • Wrote a Python program to process gastric data obtained from a wearable sensor (EGG) and output a summary report detailing the user’s GI performance against a sample population, with emphasis on diet related fluctuations • Used digital signal processing techniques like bandpass & wiener filtering, averaging, Hilbert transform, and spectral analyses to successfully isolate the low frequency gastric signal • Consulted with a health professional to guide product development for clinical applicability ### Clinical Bioengineering Course @ Jacobs Medical Center Jan 2019 – Jan 2019 | La Jolla, CA • Designed PPG sensor for the course final project that could measure jugular venous pressure (JVP) to obtain a quantitative description of heart failure after observing doctors visually estimate JVP • Shadowed the heart failure team and observed Cath Labs at Sulpizio Cardiovascular Center • Observed a radiologist analyze mammograms, MRI scans, and ultrasound images to detect breast tissue calcifications at Koman Outpatient Facility • Learned of RF devices for tumor detection, and observed lumpectomy surgeries ## Education ### Master of Science - MS in Biomedical Engineering UC San Diego Jacobs School of Engineering ### Bachelor of Science - BS in Biomedical Engineering UC San Diego ### High School Diploma in Academy for the Advancement of Science & Technology Bergen County Academies ## Contact & Social - LinkedIn: https://linkedin.com/in/anuja-walke-08963b139 --- Source: https://flows.cv/anujawalke JSON Resume: https://flows.cv/anujawalke/resume.json Last updated: 2026-03-29