Technology Intern (AI/ML)
May 2026 - Present
4 mos
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- Developed Python workflows to analyze and preprocess electronic nose and electronic tongue sensor data for sensory intelligence applications.
- Investigated machine learning techniques for signal preprocessing, feature engineering, model evaluation, and odor prediction using real-world sensory datasets.
- Researched sensor drift compensation, adaptive learning, and validation methodologies, translating findings into technical recommendations for future model development.










