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Kushagra bhargava-resume
1. Kushagra Bhargava
kushagra@usc.edu | linkedin.com/in/kushagra-bhargava/ | +1-(213)-476-5207
EDUCATION
MS, Computer Science, University of Southern California, Los Angeles GPA: 3.42 | December 2020
Honor: NextGen Fellow, Internet Corporation for Assigned Names & Numbers (ICANN66)
B.Tech., Computer Science and Engineering, GGSIPU, India CPI: 77.53 | July 2012 — May 2016
Honor: Best Outgoing Student (Department of Computer Science)
TECHNICAL SKILLS & COURSEWORK
Languages & Databases: Python, Java, TypeScript, JavaScript, Bash, Swift (iOS), SQL, MongoDB, Redis
Data Engineering: Celery, Apache Storm, Selenium, pandas, numpy, scikit-learn, Version Control (Git)
Web Development, DevOps & Frameworks: ExpressJS, ReactJS, PHP, REST API Design, Angular, AWS, Agile
Coursework: Analysis of Algorithms, Database Systems, Web Technologies, Advanced Mobile Devices & Game
Consoles, Machine Learning, Natural Language Processing
WORK EXPERIENCE
Student Developer — Center for Electron Microscopy and MicroAnalysis, USC January 2019 — Present
● Developed web-based (PHP, JS) & desktop-based (Java Swing) user access control system to organize &
manage personnel requests for accessing organization’s equipment in real-time.
● Built customer-centric features such as instrument-specific usage time logs, scheduling, & invoicing.
● Technologies used: Java, PHP, JavaScript, & MySQL
Full Stack Developer — Apple India via Randstad India June 2018 — December 2018
● Developed a crowdsourced data annotation system using MERN stack to organise and conveniently
categorize consumer feedback, collected from online sources, for different Apple products.
● Built scalable, end-to-end pipeline streamlining client requests ensuring data concurrency & consistency.
● Designed a NoSQL storage model for unstructured data, earlier stored in scattered spreadsheets.
● Enhanced UX & throughput by building robust UI for handling large data influx in crowdsourced system.
● Technologies used: ReactJS, ExpressJS, REST API, MongoDB, MySQL & Python
Research Associate— Precog Labs, IIIT Delhi, India June 2016 — June 2018
● Developed a software based on publisher-subscriber pattern, conducting forensic analysis of data
generated on online social networks, for enhancing law enforcement capabilities.
● Implemented asynchronous distributed-task queue (Celery) & real-time computation mechanism (Storm)
for processing unbounded streams of data, achieving scalability, & better resilience to failure.
● Being currently used by 100+ state and federal government agencies and armed forces across India.
● Technologies used: Celery, Redis, Apache Storm (Py wrapper), MongoDB & Python
PROJECTS AND PUBLICATIONS
Real-World Object Detection and Occlusion in Augmented Reality ( iOS, XCode, ARKit )
● Designed iOS plugin to retrieve position & spatial orientation of real-world objects of any shape & size.
● Enhanced ARKit3 experience by allowing to occlude virtual entities behind real objects in 3D space.
SocialRep: Detecting Twitterrati with Manipulated Follower Count ( Python, REST API, scikit-learn )
● Published research for proposing unsupervised neighborhood detection for identification of Twitter users
(precision: 98.62%) who bolster online social reputation via inorganic manipulation of follower count.
WeatherCast: Know Any City’s Climate ( Android, Java, Angular, TypeScript, ExpressJS )
● Developed Angular+Android based application, providing detailed daily and weekly weather forecasts,
along with search functionalities for adding multiple cities, and for saving favorites.
Comment Based Seller Trust Model for E-commerce ( Python, Selenium, scikit-learn, MongoDB )
● Multi-class text classification model of seller feedback reviews to predict ratings between (1-5) & counter
“all-good reputation” problem corresponding to sellers on e-commerce platforms: amazon.in, flipkart.com
ACHIEVEMENTS
Youth Fellow, Internet Governance Forum, United Nations, Paris, France August 2018 — November 2018
Viterbi Career Ambassador, Student Engagement and Career Connections, USC August 2019 — December 2019