Brian Sungyong Park is seeking a software engineering position. He has a B.S. in Electrical Engineering and Computer Science from UC Berkeley with a 3.66 GPA. He has internship experience at Technicolor and Cisco developing software for IoT and home automation. His projects include an AI Connect-4 opponent using Hadoop MapReduce, an A* search algorithm trip finder, and digit recognition programs using parallel computing techniques. He is proficient in Python, Java, C/C++ and has skills in databases, machine learning, computer security and parallel programming.

1. Brian Sungyong Park thebrianpark@gmail.com
29 Church St. Apt. 11 Mountain View, CA 94041 (213) 500-5560
Education
University of California, Berkeley - College of Engineering Berkeley, CA
B.S. in Electrical Engineering and Computer Science; GPA: 3.66 December 2015
Work Experience
Technicolor Corporation Research Los Altos, CA
Software Engineer Intern January 2016 – Present
• Developing a rules engine running on a gateway that responds to data influx from IoT devices
• Example rule: ”If Door Sensor A is triggered from 7 PM to 3 AM, turn on Lights B and C in hallway”
• Currently focusing on bridging communication between main engine and remote backend servers
• Planning to incorporate machine learning so that the engine can take smart actions based on predictions
Cisco Systems San Jose, CA
Software Engineer Intern May 2015 – November 2015
• Created a Java/OSGi bundle to access the Connected Life Home Automation RESTful API
• Bundle replaces the function of multiple old bundles, providing an easier command line interface for
controlling diverse devices of different radio waves, such as Bluetooth, ZigBee, ZWave, and NFC
• Researched new ways of integrating the Connected Life platform with Cisco Spark’s cloud storage
Projects
Active Firewall:
• Implemented a Python firewall that filters network packets according to verdicts specified in a text file
• Enabled the firewall to generate TCP reset injections for unwanted TCP packets and DNS responses that
redirect to a ”request denied” webpage for unwanted DNS requests
• Utilized regex patterns and bitwise operators to analyze incoming packets and create response packets
Connect-N:
• Coded in Java a generalization of the Connect-4 board game with a perfect AI opponent
• Utilized Hadoop MapReduce on Amazon EC2 to construct a complete minimax game tree for the AI
Trip Finder:
• Developed a GPS-like program in Java that outputs directions step-by-step to the requested destinations
• Employed the A* search algorithm with a straight-line distance heuristic to find the shortest paths
• Implemented a supplementary graph package that creates both undirected and directed graphs, with or
without edge weights, and contains methods to perform DFS, BFS, and node/edge iterations
Digit Recognizer:
• Created a C program that does digit recognition despite rotation, translation, or mirroring of the inputs
• Parallelized the matrix calculations with OpenMP, SSE instructions, and CUDA GPU computing
• Benchmarked about 55 GFLOPS for input images of size 128 pixels by 128 pixels
Skills
Programming: Python, Java, C/C++, Unix, MIPS, LATEX, PostgreSQL, MatLab, Scala, OpenCL, HTML, CSS
Familiar Software: Hadoop, WireShark, Mosquitto, OpenMP, CUDA, Streaming SIMD Extensions
Courses
Computer Science: Parallel Programming, Computer Security, Efficient Algorithms, Internet Architecture,
Computer Architecture, Artificial Intelligence, Database Systems, Data Structures
Other: Musical Applications of Computers and Related Technologies, Discrete Math and Probability Theory,
Introduction to Microelectronic Circuits, Signals and Systems, Linear Algebra and Differential Equations
Honors
Eagle Scout March 2012