California State Polytechnic University Pomona
Bachelor of Science, Aerospace Engineering
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I bring a strong foundation in data analysis, validation, and anomaly detection from my experience as a Missile Flight Analyst supporting high-reliability aerospace systems. In this role, I worked extensively with large volumes of telemetry and system log data, where I was responsible for identifying inconsistencies, labeling anomalies, and ensuring data quality for downstream engineering analysis. I developed automation scripts to clean, structure, and validate datasets, and regularly produced clear, structured documentation to support root cause investigations. All of which are skills that directly translate to high-quality data annotation and AI training workflows. What sets me apart is my ability to combine technical rigor with attention to detail. I’m experienced in working with ambiguous or imperfect data, applying consistent judgment to classify and interpret edge cases, and collaborating with cross-functional teams to refine data quality standards. My background in engineering, along with tools like Python, SQL, and Excel, allows me to not only label data accurately but also understand how it will be used in model training, ensuring consistency, reliability, and scalability in AI datasets.
Johnsie R. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
Bachelor of Science, Aerospace Engineering
Log Technician
Missile Flight Analyst