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Seita Fujiwara.

I am Machine Learnig Engineer |

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About Me

I have professional experience in Computer Vision and Time Series Analysis within machine learning. In my free time, I explore LLMs, participate in Kaggle competitions, and continuously expand my knowledge. Recently, I have developed a strong interest in AWS and have been actively studying cloud technologies.

Experience

connectome.design

(ML Engineer)

From 2024-02 to Current

Defect Detection in Products:

Primarily utilized YOLO and MMDetection to evaluate and develop models for defect detection and classification. Took responsibility for determining whether a product was defective by applying mathematical models, such as tracking algorithms.

MMDetect Machine Learning YOLO
Prediction and Evaluation of Power Equipment Failures:

Employed machine learning models, including Random Forest, SVM, and Gradient Boosting, to predict and evaluate the causes of power equipment failures.

Docker Machine Learning

R Systems

(Support Engineer)

From 2023-06 to 2024-09

Support Engineer:

Primarily used tools such as Kibana and Datadog to monitor and analyze errors in Mobile Payments. Communicated with companies and telecom operators during incidents, escalating issues as necessary. Additionally, handled customer user registrations and other tasks using Linux

datadog kibana