Software Engieer

Hee Won Son

*******@********.*** +1-650-***-**** linkedin.com/in/heewonson https://github.com/Watermelonlemon Resume Summary

I have diverse experience leading machine learning projects, including water quality and earthquake predictions, and published a paper. Currently, I’m taking a course focuses on development of industrial software and daily life application and software. As a personal side project, I’m building a resume helping word cloud using JavaScript. Since I am a fast learner with a strong background in algorithms, I believe I am adequate for fast-paced projects in the industry. Education

Stanford University

M.S. in Civil and Environmental Engineering, Class of 2023

• Concentration: Environmental Data, Statistics, and Modeling

• Coursework: Software Development for Scientists and Engineers, Design and Analysis of Algorithms, Programming Abstraction, C++ Programming Laboratory, Deep Learning,

Ewha Woman’s University

B.A. in Environmental Science and Technology: Environmental Data, Statistics, and Modeling Experience

Resume Helper, Stanford University

• Built word cloud focused on software engineering job search using JavaScript. Can be changed to other job positions easily.

• Utilized Google custom search API to enable users to search for job posting on website directly.

• Collected 100+ job descriptions for SWE positions, excluded general words, and provided unique and important keywords. Personal Responsive Webpage, Stanford University

• Constructed personal website using HTML, CSS, and JavaScript. Adapted for iPhone, iPad, and other small devices.

• Utilized Tailwind to make website responsive, well-designed, and user-friendly. Website Machine Learning Models, Chlorophyll-a Concentration Prediction, Stanford University

• Forecasted Chlorophyll-a concentration in water with 16 potential impacting factors, using data from 2013 to 2021.

• Utilized LSTM, RF, SVR, and XGBoost with Pytorch and sklearn. Prediction accuracy was R2 of 0.68, 0.60, and 0.66, respectively. Transformer Model, Earthquake Prediction in Japan, Stanford University

• Predicted magnitude of earthquake in Japan after historical earthquake, 2013. Preprocessed data based on fault zones and maximum magnitude was taken each day. Established and shared model pipeline to facilitate experiments by three people.

• Utilized transformer with TensorFlow, prediction accuracy was R2 of 0.70. Trend and Change Point Detection, Climate Change Detection, Stanford University

• Detected change of trend or change point with p-values under 0.025 using two-sided Mann-Kendall and Cramer von Mises Method of SciPy. Stats for 12 locations based on moderate/wet/dry weather.

• Distinguished meaningful signs of climate change in five locations, especially in wet locations. Machine Learning Models, Water Quality Prediction, Ewha Womans University

• Predicted concentration of total phosphorus in Euiam Lake, South Korea, using RF, XGBoost, DNN, and LSTM from TensorFlow.

• Prediction accuracy were R2 of 0.7643, 0.8124, 0.7666, and 0.8529 respectively. Prediction in summer and autumn with LSTM model outperformed result of spring. Early attempt to predict phosphorus concentration with machine learning.

• Determined management priority using Gradient Tape and result from LSTM model. Primary factors of TP concentration in Euiam Lake were TP concentration from upper water impoundment among 40 potential affecting factors. Publication Skills

• Programming: Python (Tensorflow, PyTorch, Pandas, Numpy, SciKit-Learn, sklearn), C++, JavaScript, C#, Java

• Other: HTML, CSS, TailwindCSS, PHP, Node.js, AWS, Git, Latex, R, Matlab, Photoshop Accomplishment and Recognition

Research Assistantship: Tracking and predicting source of pollutants in a stormwater detention pond. Best Bachelor’s Thesis Award: Most remarkable undergraduate thesis nominated by faculties. Deans List: Honored to undergraduate students who proved their remarkable academic ability. Jul 2022 -Aug 2022

May 2022 – Jun 2022

Mar 2022 – May 2022

Sep 2021 – Dec 2021

Feb 2021 – Jul 2021

Stanford University

Ewha Womans University

Ewha Womans University

Stanford, CA

Sep 2021 – Jun 2023

Seoul, South Korea

Sep 2016 – Feb 2020

Sep 2022 -Present

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