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  • Mahindra University
  • India

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Achievement: Pull Sharkx2

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Achievement: Pull Sharkx2

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Dhathri19/README.md

🚀 Dhathri Meda

Applied Machine Learning | Computer Vision | Optimization | Multimodal AI

🎓 M.S. in Applied Machine Learning @ University of Maryland 📍 Building intelligent systems at the intersection of AI, vision, and real-world engineering

🔬 About Me

I work on designing scalable machine learning systems that bridge research and real-world deployment. My experience spans computer vision, optimization, multimodal AI, and LLM-based systems, with a focus on replacing expensive processes with efficient learning-based solutions.

💡 Research & Work 🌱 Plant Disease Detection (UMD) Built an end-to-end deep learning pipeline for multi-species disease classification, improving generalization via augmentation and domain balancing ✈️ Aerodynamic Optimization (JRF @ Mahindra University) Replaced CFD simulations with ML surrogate models (XGBoost, ELM) achieving R² ≈ 0.99 → Integrated Differential Evolution for multi-objective optimization (CL, CD, XCP) 🚗 Autonomous Scene Understanding (IIIT-Delhi) Developed pipelines combining YOLOP, SAM/FastSAM for detection + segmentation → Built annotation tool improving labeling speed by 3× 🧠 Medical Imaging (NUS) Trained CNNs (VGG16, DenseNet) for brain tumor classification → Achieved 97% accuracy using transfer learning

📚 Publications Structural Health Monitoring (2025) ASCE Journal of Computing in Civil Engineering (2024) IEEE SNPD (2023) IWSHM Stanford (2023) 🛠️ Tech Stack

ML/DL: PyTorch, TensorFlow, XGBoost, ELM Vision: YOLO (v3–v8), SAM, FastSAM, OpenCV AI Systems: LLMs, RAG, Vision-Language Models, Agents Data: Python, Pandas, NumPy, SQL Tools: Docker, Git, Linux, Azure

🔍 Current Focus Multimodal AI (Vision + Language) Autonomous systems & perception Optimization + ML hybrid pipelines Efficient alternatives to simulation-heavy systems 📫 Connect LinkedIn: https://www.linkedin.com/in/dhathri-meda/ Portfolio: https://portfolio-dhathri-meda.vercel.app/ Google Scholar: https://scholar.google.com/citations?user=svHM7j4AAAAJ&hl=en

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