A Data Scientist and Machine Learning Engineer with over three (3) years of experience leveraging data to deliver impactful insights and innovative solutions, backed by dual Master’s degrees in Data Analytics and Computer Engineering.
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Professional Expertise: I specialize in Generative AI, Natural Language Processing (NLP), and Data Science. My work spans from building intelligent models to designing scalable data architectures and pipelines. I am passionate about driving efficiency and effectiveness in real-world applications.
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Industry Experience: My professional journey includes:
- Designing AI solutions like Generative AI based auto-complete, and vector based semantic search engines that improve user experience.
- Deploying scalable AI solutions by quantizing deep learning models for fast inference on cloud service poviders like AWS & GCP.
- Building data engineering pipelines to capture user activity and design analytics dashboards for user activity monitoring.
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Research and Publications: I've co-authored a research paper in the field of biomedical imaging, contributing to advancements in brain tumor segmentation using deep learning techniques. My academic pursuits continue to complement my practical projects.
- LinkedIn: Rahul Nenavath