# Harshini Mangipudi > Software Engineer 2 at Microsoft | Former Machine/Deep Learning Researcher @ UCI Location: San Francisco, California, United States Profile: https://flows.cv/harshini ## Work Experience ### Software Engineer 2 @ Microsoft Jan 2024 – Present | San Francisco Bay Area ### Software Engineer @ Microsoft Jan 2022 – Jan 2024 ### Undergraduate Researcher (Machine/Deep Learning) @ UC Irvine Jan 2021 – Jan 2022 ### Software Engineer Intern @ Microsoft Jan 2021 – Jan 2021 ### Software Engineer Intern @ Intel Corporation Jan 2021 – Jan 2021 ### Corporate Chair of WICS @ UCI (Women in Information and Computer Sciences) @ WICS UCI Jan 2020 – Jan 2021 -- Raised $8000+ in Sponsorships for WICS for academic year 2020-2021 -- Networked with company representatives to host Mock Technical Interview Event with 20+ company representatives and 50+ students ( company representatives hold 1:1 mock technical interviews with our members) --Collaborated with company representatives for partnerships, sponsorships, recruiting and club events and to plan and organize weekly events for an average of 75-100 general members --Active member focusing on developing existing technical skills while also empowering women and minorities to pursue and succeed in the STEM field ### Software Engineering Intern @ Intel Corporation Jan 2020 – Jan 2020 -- Automated data collection by implementing JavaScript, TypeScript, SQL to create data-set containing information about events that are triggered when a certain action is taken on a device -- Expanded the data collection tool by using NodeJS to execute REST API commands for different actions -- Developed an inference algorithm using Numpy, Pandas, Python, Machine Learning, Multinomial Naive Bayes Classifier, Random Forest Classifier, Logistic Regression, Linear Support Vector Machine to predict which action has taken place given the data of events that have occurred Intel OpenVINO Summer Challenge/Hackathon - 2nd Place --Developed team project “Huematch” by implementing Intel OpenVINO Artificial Intelligence Toolkit, OpenCV, and C++ to perfectly match one’s skin color to the accurate makeup color of foundation -- Extracted average hue of skin color by detecting particular regions of the face using Intel OpenVINO pre-trained machine learning models of face detection and facial landmarks -- Used C++to compare hex values and find the accurate make-up color of foundations from our database ### Software Engineering Intern @ AnDAPT, LLC Jan 2018 – Jan 2018 | San Francisco Bay Area --Worked with JavaScript & Node JS, HTML, CSS, SVG (Scalable Vector Graphics), AWS / S3 (Amazon Web Services) --Reduced page rendering time of generating datasheets of hardware components by implementing JSPDF (JavaScript Library) and AWS/ S3 --Increased the number of power components that users can drag and drop on the WebAmP online tool by implementing SVG (Scalable Vector Graphics) to generate vector images of several power components ## Education ### Bachelor of Science - BS in Computer Science, Graduated with Cum Laude Honors UC Irvine Jan 2019 – Jan 2022 ### Monta Vista High School Jan 2015 – Jan 2019 ## Contact & Social - LinkedIn: https://linkedin.com/in/harshini-mangipudi --- Source: https://flows.cv/harshini JSON Resume: https://flows.cv/harshini/resume.json Last updated: 2026-03-23