Software Engineer Junior

Chiharu Akiyama

*******************@*****.*** ***- 660-7543 Portland, OR 97206

Objective

Recent Computer Science graduate seeking junior software engineer position to apply my skills while learning to develop high quality applications.

Education

2019 - 2022

Portland State University, Portland, OR

Bachelor of Science, Major in Computer Science

GPA 3.70

Experience

• SightLine Applications, Inc

Software Engineer - Senior Capstone Project (June 2021 – Dec 2021)

- Tuned image classifier for Oregon-based onboard video processing company, SightLine Applications, Inc to achieve accuracy of 95% or more.

- Collected, cleaned, and preprocessed images for the custom dataset.

- Trained and tested SightLine Application’s proprietary image classifier on the custom dataset.

- Participated in weekly team meetings for progress updates and brainstorming.

- Identified that some of the classifier accuracy issues were due to the classifier learning background textures instead of the object in images. Technical Skills

• Languages: C++, JavaScript, Python,

HTML, CSS, SQL

• Frameworks: React

• Libraries: Tensorflow, Pytorch, Keras,

Numpy, Pandas

• Version Control: Git/Github

Additional Skills

• Team-player

• Time management

• Self-motivated

Relevant Coursework

• CS 410P Front End Web Development

- Created a beginner-friendly dashboard application that displayed and compared user- selected cryptocurrencies with tables and graphs that fetched data every minute from REST API CoinGecko.

• CS 410 Data Engineering

- C-Tran Data Pipeline Project: Used GCP and Confluent Kafka to create a data pipeline for bus sensor events from a public transportation agency in Washington (C-Tran). Set it up to make daily requests, validate/clean data, store and integrate in PostgreSQL.

• CS 445 Machine Learning

- KiTS21 Challenge Project: Purpose of the project was to take the published kidney CT scans and train them on MLP, CNN and K-means models to predict segmentation scans showing background, kidneys, tumors, and cysts. I trained the CNN model on the scans reaching detection accuracy of 77%.

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