# Gayathri Ravichandran

> Engineering @ Uber

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/gayathri

## Work Experience
### Senior Software Engineer @ Uber
Jan 2024 – Present | San Francisco Bay Area

### Software Engineer II @ Uber
Jan 2022 – Jan 2024 | San Francisco Bay Area

### Software Engineer I @ Uber
Jan 2021 – Jan 2022 | San Francisco Bay Area
Earner Incentives

### Software Engineer @ SAP
Jan 2019 – Jan 2020 | San Francisco Bay Area

### Software Engineer Intern @ Alkira Inc
Jan 2019 – Jan 2019 | San Francisco Bay Area
- Designed and developed test automation framework
- Developed test plans, executed and automated test cases
- Opened and Verified software defects
- Tech: Vagrant, Robot Framework, Python, AWS

### Student Full Stack Developer @ Laboratory of Neuro Imaging (LONI)
Jan 2018 – Jan 2018 | Greater Los Angeles Area
USC Mark and Mary Stevens Neuroimaging and Informatics Institute

Contributor in Professor Jack Van Horn's team, aiding in building and maintaining a database driven Web application for the Big Data to Knowledge Training Coordinating Center (BD2K-TCC) using Golang on IRIS framework, HTML5, CSS with Bootstrap, JavaScript and MySQL.

Web URL : https://bigdatau.ini.usc.edu
Tech Stack :  GOLang, HTML, CSS with Bootstrap, JavaScript, MySQL , Jira, AngularJS, Git Version Control

### Software Engineer Intern , IBM Research @ IBM
Jan 2018 – Jan 2018
-  Implemented an unsupervised humour generation system on Python.
-  Engineered a real time prediction model on Python to detect subtleties in language using SpaCY, Word2Vec and IBM Watson Tone Analyzer
-  Leveraged BeautifulSoup and Scrapy and pywikibot for data extraction and scraping from HTML and XML Documents.
- Performed predictive analysis with Logistic Regression, Decision Trees , Random Forests and XGBoost
- Extracted semantic relations from text datasets through the ConceptNet knowledge graph
- Leveraged DataMuse word-finding query engine to obtain relevant attributes for a given constraint and context
- Topic Modeling with LDA and TF-IDF
-  Evaluating Normalized Compression Distance through CompLearn to discover relations.

### Software Development Intern @ InnovationHub Technologies Pvt Ltd
Jan 2017 – Jan 2017
-	Developed an Optical Character Recognition System to process images into textual data with Tesseract on an embedded platform.
-	Performed image segmentation, binarization, thresholding, feature extraction and contour detection in OpenCV.
-	Integrated TensorFlow for image classification which boosted accuracy to 94%.


Technologies: OpenCV, Python, TensorFlow, Raspbian OS, NumPy, Tesseract

### Project Intern @ SCSK Corporation
Jan 2015 – Jan 2015


## Education
### Master of Science - MS in Computer Science
University of Southern California

### Bachelor’s Degree in Computer Science
Ramaiah Institute Of Technology

### High School
National Public School, Rajajinagar


## Contact & Social
- LinkedIn: https://linkedin.com/in/gayathri-ravichandran

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Source: https://flows.cv/gayathri
JSON Resume: https://flows.cv/gayathri/resume.json
Last updated: 2026-03-29