Adam Askari
Software Engineer SF Bay Area (Cupertino) 408-***-**** adbyzv@r.postjobfree.com github.com/bearownage https://www.linkedin.com/in/adam-askari-895526126/ United States Citizen
OBJECTIVE
My aspiring goal as a software engineer is to use knowledge from different fields to build accessible software that makes everyday life more fun, organized, and efficient; if I get to work on products that I personally use, that's even better! Mainly focused on building system side infrastructure or AI/Machine learning frameworks.
EDUCATION
University of California, Santa Cruz Stanford
Bachelor of Science, Engineering WSP 152 A Crash Course in Artificial Intelligence Major: Computer Science (2016-2020)
Currently 4th Year Student (Expected Graduation 2020) Yonsei University
6-week study abroad program (Summer 2018)
XASN 103S Korean Cinema
XASN 11AS Beginning Korean 1
PROFESSIONAL EXPERIENCE
Internships
Jobvite Inc. (June-September 2019)
Worked on the platforming team and created tools to help ensure code and product quality. Analyzed Gradle dependencies when migrating integration tests from Junit4 to Junit5. Worked with a known JavaServer Page linter and created python scripts that could output the errors it was generating into more legible formats. Wrote automation tests using frameworks such as Carina and Selenium to make sure parts of the application were working as intended.
PROJECTS
REST API Distributed Key Value
Worked with a group in a Distributed Systems class and wrote a distributed key value store in Go. Keys are distributed in the system using modulo hashing and supports redistribution of keys throughout the system. https://github.com/bearownage/kvs
HttpClient/HttpServer
Wrote an HTTP Client and Server in C++ that can send and receive files such as text or binary. Has multiple key-value storing such as the file data and alias names for the files. Server searches for data using linear probing. Has multi- threaded implementation with a cache that employs a Least Recently Used scheme. https://github.com/bearownage/Client-Server
NFL Score Predictor
Uses SKLib/SKLearn and tensor flow to create a machine learning model that can be used to predict a score of an NFL game. The models include RandomForest and a Neural Network. https://github.com/bearownage/NFL-Score-Predictor
Woo
Wrote a cross platform mobile application in react-native with a team in my Software Engineering class that helps bridge communications between healthcare professionals and their patients. Uses React-Native and Firebase. https://github.com/zchen133/CSE115_Woo
LANGUAGES & TECHONLOGIES
Proficient: Java, C, C++, Python, Go, Javascript
Familiar: SQL, MongoDB, C#, Vue.js, React.js, Jquery, php, bison, flex, HTML, Firebase, Css Technologies: Android Studio, Expo, Git, Unix, POSIX, TensorFlow, scikit, Jest, Maya, Unity