# Parshv Patel > Software Engineer at Walmart | Ex - Amazon | MS in Software Engineering | Data Science Location: San Francisco Bay Area, United States Profile: https://flows.cv/parshv I am a results-driven software engineer with a strong foundation in both theoretical concepts and practical applications. With a Master of Science in Software Engineering from San Jose State University and a Bachelor of Science in Information Technology from Nirma University, I have honed my skills across a wide range of programming languages, technologies, and cloud platforms. In my current role as a Software Engineer at Amazon, I have contributed to the development of an automated, self-service content-risk management system, leveraging Java, SQL, Kotlin, JavaScript, TypeScript, ReactJS, Node.js, and AWS technologies. I played a key role in implementing Content Appropriateness policies for Books, resulting in a significant increase in automation rates and enhancing the integrity of the system. Outside of work, I am passionate about exploring new technologies, solving complex problems, and collaborating with cross-functional teams to deliver innovative solutions. I am eager to leverage my skills and experiences to contribute to challenging projects and drive business growth in a dynamic and fast-paced environment. ## Work Experience ### Software Engineer @ Walmart Global Tech Jan 2024 – Present | Sunnyvale, CA ### Software Engineer @ Amazon Jan 2022 – Jan 2024 | Seattle, Washington, United States - Developed an automated, self-service, multi-tenant content-risk management system utilizing Java, SQL, Kotlin, JavaScript, TypeScript, ReactJS, Node.js, AWS, S3 and DynamoDB, achieving a 20% improvement in tenant engagement through enhanced usability. - Implemented Content Appropriateness policies for Books using Java, Python, Kotlin, TypeScript, AWS Step Functions and Lambdas backed by AWS CloudFormation Stacks, resulting in an increase in automation rate of policy execution to 96%. - Designed and implemented a versioning mechanism to enhance the integrity of facts within policies, contributing to a more robust and scalable content-risk management system, resulting in a 25% reduction in operational costs and enhanced the overall system efficiency. - Participated in on-call responsibilities and conducted a successful Operational Readiness Review. This meticulous approach ensured smooth event operations and significantly enhanced customer satisfaction, achieving a 40% reduction in response latency. - Authored and presented a comprehensive system implementation document to senior engineers, effectively communicated complex technical concepts and also addressed the questions. ### Data Scientist @ Southwest Airlines Jan 2022 – Jan 2022 | Dallas, Texas, United States - Identified and analyzed 125 Ground Operations injuries and 80 instances of aircraft wing overlaps using Power BI and Tableau. - Forecasted aircraft damage costs with 95% accuracy using Python, SQL, Data Visualization techniques and Machine Learning models. - Predicted a 25% reduction in overhead bin injuries in an aircraft using Predictive Models and Machine Learning techniques, resulting in improved safety measures. ### Graduate Research Assistant, Machine Learning and NoSQL @ San Jose State University Jan 2022 – Jan 2022 | San Jose, California, United States ### Graduate Teaching Assistant, Machine Learning (CMPE 257) @ San Jose State University Jan 2021 – Jan 2022 | San Jose, California, United States ### Graduate Research Assistant, Machine Learning and Deep Learning @ San Jose State University Jan 2021 – Jan 2021 | San Jose, California, United States ### Graduate Teaching Assistant, Data Mining (CMPE 255) @ San Jose State University Jan 2021 – Jan 2021 | San Jose, California, United States ### Machine Learning Engineer @ Omdena Jan 2021 – Jan 2021 | New York, United States In collaboration with NeedEnergy, this 8-week challenge focuses on increasing clean energy adoption in Sub-Saharan Africa with the aid of machine learning for predicting energy demand and potential solar energy production. My tasks in this challenge include the following: 1. Collect datasets and sources for energy demand prediction using ML 2. Conduct research on clean energy in Africa 3. Contribute to developing ML models for predictive analytics 4. Co-created a dashboard for forecasting solar energy production in Harare, Zimbabwe 5. Co-created a PV sizing tool to optimize ROI on solar installations in Harare, Zimbabwe ### Software Engineer @ Quicko Jan 2020 – Jan 2020 | Ahmedabad, Gujarat, India - Designed and developed dashboards using AngularJS, ReactJS, Node.js, and TypeScript and blended various services into their respective dashboards, reaching over 100,000 customers within Q3 and Q4 2020, resulting in a 15% average revenue increase per customer. - Defined services in Java in Eclipse and used Postman to call endpoints of different services, successfully scaling the application architecture to accommodate a 30% increase in user traffic. - Integrated data into dashboards using Oracle Database, resulting in a 25% increase in user engagement with the dashboards. ### Data Scientist @ InfiVolve, Inc. Jan 2020 – Jan 2020 - Implemented Machine Learning projects using python libraries such as Numpy, Pandas, Scikit-learn, Keras, Tensorflow, PyTorch, OpenCV and OpenPose Pose Estimation. - Generated a pose estimation model to detect and classify type of exercise and parameters related to an exercise with an accuracy of 97%. ### Machine Learning Engineer @ Fusion Informatics Limited Jan 2019 – Jan 2019 | Ahmedabad, Gujarat, India - Developed a web app using Flask framework for printed and handwritten text recognition. - Extracted text from forms with printed and handwritten text in English and Hindi language using a combination of OpenCV and other machine learning techniques with an accuracy of 98%. - Managed to use Python Libraries like Optical Character Recognition and OpenCV. ### Web Designer @ Silverwing Technologies PVT LTD. Jan 2017 – Jan 2017 | Ahmedabad, Gujarat, India I was offered an intern role of Wed Designer and I successfully completed this internship that consisted of learning Web Designing (with Bootstrap Framework) and Project Deployment. ## Education ### Master's degree in Software Engineering San José State University Jan 2021 – Jan 2022 ### Bachelor's degree in Information Technology Nirma University Jan 2016 – Jan 2020 ## Contact & Social - LinkedIn: https://linkedin.com/in/parshv252123 --- Source: https://flows.cv/parshv JSON Resume: https://flows.cv/parshv/resume.json Last updated: 2026-03-22