As a former architecture and editorial photographer turned engineer, I bring the same creativity and analytical problem solving to computer science as I did to the arts. My primary focuses professionally are on building knowledge in the fields of software engineering and machine learning while working on personal projects. Away from the usual chaos I spend time with my family and dog in addition to making art.
More info about: Photography | Biography
Work Experience
The following three internships I’ve had were granted by PCEP, a cooperative and highly competitive internship program offered by Portland State University in coordination with industry partners. It’s an excellent experience and one I would highly recommend.
Software Engineer II
The Standard | Aug 2023 - Present
Software Engineering Intern
The Standard | Jan 2023 - Jul 2023
Site Reliability Engineering Intern
Apex Fintech Solutions | Jul 2022 - Dec 2022
Software Engineering Intern
Trimble Inc. | Jan 2022 - Jun 2022
Technical Course Support Specialist and Grader
Portland State University | Jan 2021 - Dec 2021
Education
Masters in Computer Science | Portland State University
Study Areas Covered (GitHub repos linked): Computer Science Core | ML/AI | Data Engineering | Front End
|
ML/AI and CV Concepts Implemented :
Technologies Used: Keras, Tensorflow, OpenCV, NumPY, Pandas, MatPlotLib, SciPy, SciKitLearn, Seaborn, MPL Toolkits
Implementations: Stochastic Gradient Descent, Naive Bayes Classification, K-Means Classification, Transfer Learning, Low Rank Model Compression, DoG and Sobel Filters, SIFT visualization, Optical Flow, GradCAM DL-Saliency using VGG16 CNN Model, Image, Classification Using InceptionResNetV2, K-Means for Image Segmentation
|
Data Engineering Concepts Implemented:
Technologies used: GCP, Confluent Kafka, PostgreSQL, Pandas, REST API, geojson, MapBox, Python
Data: Integration, Maintenance, Storage, Transformation, Transport, Validation
|
Feel free to reach out via the social icons below. I’m looking forward to meeting!