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Proud to share highlights from my work as an ML engineer: designing end-to-end machine learning pipelines, deploying models to production on AWS/GCP, and collaborating with product and data teams to turn insights into impact. I focus on reproducibility, performance optimization, and creating maintainable systems that scale. Always excited to connect with fellow engineers and product leaders — let’s build something impactful together.
Her research focuses on Machine Learning , Data Compression , and Agile Software Engineering . Notable Publications: Studies on water quality analysis using machine learning. Research on WiFi 6 influence in Fog Computing.
. Notable projects include using Deep Learning for brain tumor detection and handwriting analysis to determine personality traits. Interdisciplinary Impact:
Ranked during her BSc in Statistics at Kerala University (2020–2023).
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