Code Review
Reviewed code generated by various models and corrected errors to improve accuracy.
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I bring extensive experience in engineering, data engineering, and machine learning, with a strong focus on building and optimizing data pipelines and backend systems for large-scale AI and analytics projects. My background includes designing scalable distributed systems, managing databases with SQL and NoSQL technologies, and applying Python, SQL, FastAPI, and tools like TensorFlow, PyTorch, NumPy, and Pandas to real-world data challenges. I have developed machine learning pipelines for processing and labeling large datasets, particularly in the context of telecommunications network optimization, ensuring high data quality and model accuracy. I am skilled at collaborating with cross-functional teams, troubleshooting complex data issues, and producing clear technical documentation, making me well-equipped to contribute to data annotation and AI training data initiatives across diverse domains.
Reviewed code generated by various models and corrected errors to improve accuracy.
Compared various LLM video output to improve accuracy in human movement and emotion.
Image annotation for football and basketball matches to improve accuracy of AI game moderation technology.
Bachelor of Science, Electrical and Computer Engineering
Engineering and Computer Science Teacher
Engineering Coordinator and Teacher