Matthew Levan 2017 .pdf

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Rancho Palos Verdes, CA
(707) · 321 · 6426
Marc Andreessen said, "Software is eating the world," and he’s right. As a Master’s student and young
software engineer, I spend every day learning and working to be the driving force that ensures the
software that does eat the world is the best it can be. My professional interests include: machine
learning, artificial intelligence, cloud computing, DevOps, distributed systems, project management,
software architecture design, and software engineering.
California State University, Dominguez Hills
M.S. in Computer Science
GPA: 3.797

2014–December 2017

Operating Systems

Java, Scala, Python, C
GNU/Linux, Mac OS X, iOS, Windows XP–10
Git, GCC, Xcode, Docker, NoSQL, MySQL, NumPy, Pandas, GCP

California State University, Dominguez Hills

Computer Science

· Continued academic research in the fields of algorithms, big data, and cloud computing. Author on
two IEEE published papers. See the Publications section for details.
Computer Science

Java/OO Programming Lab Instructor

· Lead interactive, hands-on Java programming labs to assist students with implementing theoretical
Object-Oriented design concepts in small-scale applications and simulations.
Alcoa Fastening Systems & Rings
Automation Engineering Intern

October 2015–April 2016

· Implemented standardized systems and products, configured networks, and wrote custom machine
programs to facilitate automation of a wide variety of manufacturing processes based on exhaustive
data collection and analysis.

Computer Science Intern

June 2015–September 2015

· Designed and implemented a queue and batch system with a custom web interface for a high performance computing cluster using Linux, SLURM, PHP, Python, HTML, and Bash. System balances
workload efficiently, queues fairly, and is accessible remotely.
Exploiting Topological Structures for Graph Compression Based on Quadtrees
Co-author with Dr. Amlan Chatterjee, et al.

Oct. 2016
Computer Science

· Developed novel algorithms that utilize the quadtree data structure for compressing adjacency matrices, particularly those used for representing social network graphs. Corresponding querying techniques allow reading directly from compressed matrices. Our paper, Exploiting Topological Structures for Graph Compression Based on Quadtrees will be published in 2016 IEEE International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN).
Job Scheduling in Cloud Datacenters Using Enhanced Particle Swarm Optimization
Dec. 2016
Co-author with Dr. Amlan Chatterjee, et al.
Computer Science
· Performed exhaustive analysis on the efficiency of the particle swarm optimization (PSO) algorithm
(a probabilistic metaheuristic algorithm) for scheduling jobs on cloud data centers. The paper, entitled Job Scheduling in Cloud Datacenters Using Enhanced Particle Swarm Optimization has been
accepted and will be published in the 2017 IEEE International Conference on Convergence of Technology (I2CT) academic journal.
Computer Science
GPA: 3.797
Computer Organization
Data Structures
Research Methods
Programming Languages
C Programming & Unix
Java I & II
Human Computer Interaction
Calculus I, II, & III
Operating Systems


Artificial Intelligence
Big Data
Discrete Mathematics
Analysis of Algorithms
Software Project Management
Functional Programming in Scala (Coursera)
Object-Oriented Analysis & Design
Advanced Programming Langs
Advanced Operating Systems


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