Sagar Saxena

Undergraduate Researcher

University of Maryland•  October 2019 - Present

I am currently pursuing research focused on investigating various Generative Adversarial Networks, their applications, and extrapolating them to new datasets and problems. As a part of this research, I write journal reports on the observations and analysis of experiments.

Student Software Developer

University of Maryland•  January 2020 - May 2020

I worked as a Student Software Developer for the Division of Information Technology at the University of Maryland. My main role was to test applications and automate that testing with Selenium and Locust. I also gained experience working with Service-Now, Bitbucket, Bamboo, Splunk, and Jira.

Internet Architect Apprentice

Anant Corporation•  June 2017 - August 2017

My primary objective was to work on the Smmindy project. Smmindy or the Sales Marketing Mind, is a project that involves scraping details of jobs (opportunities), people (leads), and companies (accounts) from various websites such as LinkedIn, RemoteOk, Github, etc, classifying this data to identify potential clients using Machine Learning, connecting all this data together, and displaying this data on a website. I worked with Python, NodeJS, ReactJS, Docker, Cassandra, Kubernetes, ElasticSearch, and Digital Ocean on this project. I also created Headless Chrome Browser NodeJS bots for automating tasks and wrote blogs for the Anant Corporation Blog.

Software Engineering Intern

Big Parser•  June 2016 - August 2016

I reviewed and tested the company's API and created a website to provide documentation for the API. This website was later used at the Big Parser Summer Hackathon. I also coded an Alexa application that connects the Big Parser Grid to Alexa using Natural Language Processing, NodeJS, Python, and AWS Lambda. I met with other developers and company heads to talk to them about the Big Parser Voice product. Finally, I met with high school and middle school students and taught them how to code, use the Big Parser API, and create Grids and Alexa Skills to prepare them for the Big Parser Summer Hackathon. I mentored at the 14-hour Hackathon and taught students how to code and helped them develop full-fledged projects using the Big Parser API.