Indira Gandhi Delhi Technical University for Women
Bachelor of Technology, Computer Science
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With a strong foundation in data engineering and software development, I have extensive experience working with large-scale datasets, building robust data pipelines, and ensuring high data quality — all critical aspects of preparing training data for AI systems. At Uber and PhonePe, I worked on distributed data processing frameworks using Apache Spark, Hive, Kafka, and Airflow, managing data pipelines that processed over 100 billion records daily. My work focused on improving data accuracy, consistency, and observability — ensuring that downstream machine learning and analytics systems were powered by clean, reliable data. My proficiency in Python, SQL, and Java, combined with hands-on experience in data validation, transformation, and monitoring, has given me a deep understanding of how well-structured and annotated data impacts AI model performance. I bring a strong analytical mindset, attention to detail, and a proven track record in automating and optimizing data workflows — skills that translate directly into producing precise, high-quality training data for AI and machine learning applications.
Bachelor of Technology, Computer Science
Software Engineer
Data Engineer