Code debugging
Trained a coding software to debug vibe coded projects.
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With over 14 years of experience as a software engineer at Google and Microsoft, I have developed and maintained large-scale, data-intensive systems with a strong focus on data quality, validation, and integrity. My expertise in Python, distributed systems, and backend development has given me a meticulous eye for detail, allowing me to ensure accuracy and consistency across complex data pipelines and AI/ML integrations. I am highly skilled in data labeling, annotation, and quality assurance, with hands-on experience reviewing and validating data for model training and serving. My background in incident management, debugging, and rigorous code reviews directly translates to ensuring the highest standards for labeled datasets. I am passionate about leveraging my technical skills and analytical mindset to deliver precise, reliable, and high-quality AI training data.
Trained a coding software to debug vibe coded projects.
Trained a LLM to generate humanistic video responses to queries.
Trained an autonomous vehicle system to park properly in congested parking lots.
Bachelor of Science, Computer Engineering
Software Engineer
Senior Software Development Engineer