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Developed and deployed AI systems across diverse industrial use cases including greenhouses, warehouses, outdoor, agriculture, rotary robot system, robotic arms, and more. Responsibilities included implementing a Knowledge Retrieval System, building GenAI & LLM-based data generation, developing an AI-drone vision system, and more.
Developed and published Open Set Visual Radar and Video data for a surveillance system, alongside various ML models for activity recognition and explainable AI techniques.
Built ML models using PySpark and MLlib, developed deep learning-based document classification, and designed NLP pipelines for text extraction.
PhD focusing on Machine Learning (ML) & Artificial Intelligence (AI) techniques for vision.
Master's thesis on exploring deep AI architectures in semi-supervised kernel based learning.
Master's thesis on semantic-based friend recommendation system for social networks.
Bachelor's thesis on clustering with multiview point based similarity measures.