Electrical Engineering Computer
Resume:
Santa Clara, CA *****
ac7oa7@r.postjobfree.com
Jason Kao
Objective
To secure an entry-level electrical engineering position. Education
B.S. in Electrical and Computer Engineering Aug 2014 – Aug 2018 University of Illinois, Urbana-Champaign
Related Courses/Projects
ECE 385 – Digital Systems Laboratory
Designed, documented, built, and tested a basic 8-bit multiplier
Designed a rudimentary tetris algorithm and applied it to a basic VGA module on an FPGA.
o Utilized a combination of SystemVerilog and C to develop the programming required for the project.
SystemVerilog handled the imaging and collision logic
C handled the piece generation, score counting, and termination conditions.
ECE 445 – Senior Design Laboratory
Designed and built a single-switch forward DC-DC converter. o Built a transformer using a ferrite core and copper wire windings. o Detachable for convenient transportation, minimal power losses. o Extensive use of voltmeters, oscilloscopes, and soldering.
CS 440 – Artificial Intelligence
Designed with Python:
o BFS, DFS, Greedy BFS, and A* search algorithm for a single goal maze. o A* search algorithm for finding the shortest path between multiple points in a maze o Planning algorithm driven by a user-created heuristic o Minimax agent with alpha-beta pruning capabilities, specializing in the game of Gomoku (Five-in-a-row)
o Pong Reinforcement Learning Agents
TD-learning
SARSA
Expert system: ANN with training data.
CS 225 – Data Structures
Designed various algorithm fill-ins with C++:
o maze-imager/solver
o photo-mosaic generator
o color-filler
o sticker-sheet generator
ECE 110 – Introduction to Electronics
Built a photo-sensitive turning system for a toy car o Using photo-resistors
o Small motors
ECE 120 – Introduction to Computing
Designed a vending machine logic board.
87 Cook Place
Santa Clara, CA 95050
ac7oa7@r.postjobfree.com
Work Experience
Intern, GoPIPA, San Jose, CA Jun 2017 - Aug 2017
Designed and tested neural networks for stock price movement analysis and prediction
• Primarily used python to develop neural networks and corresponding test-benches
• Used Sci-Kit Learn and Keras libraries to create and tune various supervised learning models.
• Used NumPy and Panda libraries for data collection, cleaning/formatting, and analysis Intern, Cisco Systems, San Jose, CA Jun 2016 – Aug 2016 Participated in testing and verification of network cards
• Worked with a linux-based interface running test sets on network cards connected to a chassis
• Used a voltmeter and oscilloscope to check individual components on network card circuit boards.
Skills
PCB Soldering
Knowledge of hardware troubleshooting, oscilloscope and voltmeter usage
SystemVerilog (in Quartus Prime)
C/C++, Python, Java, SQL, MATLAB
Machine learning and deep learning libraries: NumPy, Panda, Sci-Kit Learn, Keras, some knowledge of Tensorflow & Theano
Knowledge in using:
o Linux and Windows Operating Systems
o MS Office, Anaconda development environment
o GIMP (GNU Image Manipulation Program)
Activities
• Playing violin, guitar, and piano
• Volunteering at non-profit organizations on environmental projects
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