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Raghav Joshi

@raghavjoshi5

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Software engineer who built Bloomberg’s deployment dashboard and Android apps with 2.8 million+ downloads.

United States

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At Bloomberg, I developed a dashboard that automated parts of the rollout and deployment pipeline for enterprise collateral applications. The automation reduced client unavailability and sped up the rollout process by 90%.

At BigHive, I developed the Android SDK and implemented Scala Flink jobs to cluster location data using DBSCAN, with Kinesis input and MongoDB output.

I also built three Android applications independently, which together reached 2,800,000+ downloads. They included WhatsBubbles, WiFi File Transfer, and Math Mania.

At Georgia Tech, I expanded a data structures and algorithms visualization tool to cover the topics taught in class. I also developed an Android Wear app for research on passive haptic learning for Morse code.

Experience

Work history, roles, and key accomplishments

Software Engineering Intern

Bloomberg

May 2019 - Aug 2019 (3 months)

Developed a dashboard for automating the rollout and deployment pipeline for enterprise collateral applications, speeding up the rollout process by 90%. Created a web application using React.js, Bulma, Sass, Express and Node.js, and a backend using Python and SQL.

React Bulma SASS Express NodeJS Python SQL Automation Deployment

Data Structures and Algorithms TA and Senior TA

Georgia Institute of Technology

Jan 2018 - May 2019 (1 year 4 months)

Selected as a TA for one of the largest and most important CS classes at Georgia Tech, and promoted to Senior TA. Taught students in recitation, corrected homework and tests, reviewed code, answered questions, and created homework and unit tests with JUnit.

Teaching Data Structures Algorithms Junit Communication Skills Leadership

Android SDK Developer Intern

BigHive

Aug 2018 - Dec 2018 (4 months)

Developed the entire Android SDK for BigHive, a start-up which aggregates and processes user location information. Implemented Flink jobs in Scala that cluster location data using DBSCAN, using Kinesis for input and MongoDB for output.

Android Scala Apache Flink DBSCAN Kinesis MongoDB Parallelization Backend Interaction Battery Optimization

DevOps Internship

Itaú Unibanco

May 2017 - Jul 2017 (2 months)

Interned in Itaú Unibanco's DevOps team, developing scripts for their continuous integration pipeline for their mobile apps. Gained technical experience with Bash, Linux, Jenkins and SonarQube, in addition to experience with Agile development.

BASH Linux Jenkins SonarQube Agile Development Continuous Integration