Kulvanth S
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Hyderabad
1+ year of work experience
May 20251 yr 4 mosPresent
Hyderabad, Telangana, India
Engineered and implemented multimodal AI chatbot incorporating computer vision, natural language processing, and remote sensing data analysis to provide near real-time insights for precision farming. Developed automated deep learning pipelines for image-based classification, segmentation, and anomaly detection for remote monitoring, mitigation of risks for better farming practices. Deep learning algorithms for crop scientists for optimized seed breeding.
May 20243 mosJul 2024
Bengaluru, Karnataka, India
• Conducted change detection analysis and supervised learning using Google Earth Engine.
• Parceling and segmentation techniques on Satellite Image Time Series (SITS) data for crop classification using Large Vision Models (LVMs).
• Submitted a research paper to IEEE ICASSP 2025 Conference titled AR-STAR, which enhances a Convolutional RNN for more accurate crop classification.
May 20243 mosJul 2024
Executed geospatial data analysis through remote sensing, Google Earth Engine, employing supervised learning and change detection algorithms on satellite imagery. Executed image segmentation and classification techniques on satellite image time series (SITS) data through application of large vision models (LVMs) and deep learning frameworks. Anomaly detection of glacier thawing in Greenland employing multiple vegetation indices with satellite data.
Kulvanth’s AI Stack
Education
Master's degree, Data Science
Sri Sathya Sai Institute of Higher Learning
20232 yrs2025
Bachelor's Degree, Computational Science
Sri Sathya Sai Institute of Higher Learning
20203 yrs2023
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