Post Job Free

Resume

Sign in

Machine Learning, Data Science, Python, C/C++, C#

Location:
Thousand Oaks, CA
Posted:
February 12, 2024

Contact this candidate

Resume:

Ken X. Zhou

Thousand Oaks, CA (***) ******* ad3knq@r.postjobfree.com

Technical Skills

Programming Languages: Python, C/C++, MySQL, GDScript, Java, C#, HTML, CSS, Linux Shell Libraries & Frameworks: Flask, pandas, numpy, jupyter, Software: Subline Text 3, Github Desktop, Visual Studios 2022, Eclipse, Godot Engine, Unity, Unreal Engine 4, MS Office Products, Photoshop

Operating systems: Windows, Linux (Ubuntu), Android, MacOS, iOS Education

University of California San Diego – La Jolla, CA September 2022 – Present M.S. in Machine Learning and Data Science (ECE)

Courses Completed:

● Graduate Networked Systems

● Sensing & Estimation Robotics

● Programming for Data Analysis

● Search and Optimization

● Probabilistic Reason & Learning

● Prob & Stats for Data Science

University of California Irvine - Irvine, CA September 2018 – December 2021 B.S. in Computer Science, GPA 3.6

Academic Honors: Dean’s Honors List (7 quarters)

Courses Completed:

● Programming in C/C++

● Python Programming and Libraries

● Machine Learning and Data Mining

● Principles of Operating Systems

● Introduction to Data Management

● Data Structures: Implementation and Analysis

● Next Generation Search Systems

● Algorithms for Probabilistic and Deterministic

Graphical Models

● Design and Analysis of Algorithms

● Embedded Software

● Introduction to Software Engineering

● Introduction to Artificial Intelligence

● Formal Languages and Automata

● Principles in System Design

● Information Retrieval

● Internet of Things Software and Systems

● Music and Computers

Experience

Abbott

Software Verification Engineer I, May 2022 – August 2022

● Used C# to write automated test scripts for a mobile app interfacing with a Bluetooth device Projects

Quantum Reinforcement Learning

Team Member, September 2021 – December 2021

● Developed a quantum reinforcement learning model and compared its performance to a classical CNN reinforcement learning model using the task CartPole from the Python library gym.

● Trained the classical model for 50,000 episodes and compared it to the quantum model. Recipe Recommendation App

Team Member, January 2021 – March 2021

● Helped design and launch an app to rank and recommend recipes based on user feedback as well as currently available ingredients.

● Wrote a recipe scraper and created the backend database using NLP features to detect ingredient quantities.

Security Camera

Sole Developer, October 2020 – December 2020

● Designed and created an Arduino circuit using an OV2640 camera to act as a security camera.

● Wrote software to upload images larger than the Arduino’s memory using multi-part/form data encoding type, then processed the images using Google Cloud Vision to identify objects and process them on an Amazon Web Services server (AWS). Minesweeper AI

Partner Project, April 2020 – June 2020

● Wrote an AI in C++ that utilizes modern AI techniques including informed and uninformed search algorithms, constraint satisfaction, and model checking to solve Minesweeper. Search Engine

Sole Developer, January 2020 – March 2020

● Created a search engine using term frequency-inverted document frequency (TF-IDF) to rank terms and documents from UCI’s computer science domains.

● Indexed and crawled over 50,000 documents.

● Ensured results have response times under 300 milliseconds. Global Game Jam 2020

Designer/Composer/Team Lead, January 2020

● Developed “Return from Dust”, a top-down shooter-style game as part of a team of three people

● Acted as the sole level designer and UX/UI designer for the gameplay and led gameplay design

● Led the team by managing time and resources as well as project planning

● Composed five music tracks for the game

● Completed and showcased the entire project in three days



Contact this candidate