Yanala Raghuvamshi Reddy

AI/ML Enthusiast | Researcher | IEEE Treasurer

Hi, Iā€™m Raghu

A passionate AI/ML student & researcher with experience in deep learning, computer vision, and environmental modeling. I focus on building impactful solutions by combining research-driven approaches with real-world applications.

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Core Skills

  • Python, C, C++, R
  • Deep Learning (TensorFlow, PyTorch, Keras)
  • Data Analysis (NumPy, Pandas, Matplotlib, Seaborn)
  • Flask, Streamlit, Web Scraping & API Development
  • AI/ML Research in Computer Vision & Environmental Modeling

Internship Experience

Indian Space Research Organisation (ISRO ā€“ NRSC)

Completed a research internship on the SM_ET_DNN framework for evapotranspiration (ET) and potential ET (PET) modeling. Developed deep neural networks using TensorFlow, implemented automatic soil moisture thresholding, and computed cumulative water deficit (CWD) to track drought stress. This work integrated environmental data analysis with AI-based modeling.

June 2025 ā€“ August 2025

Projects

My projects reflect my interest in AI/ML research and real-world problem solving. From environmental modeling to intelligent defect detection, I focus on innovation, accuracy, and impact.

AI-based Art Image Classifier

Built an ensemble CNN model (MobileNetV3 + InceptionV3) to classify defective vs non-defective art images. Deployed using Flask with Grad-CAM interpretability for better transparency in predictions.

Chatbot with Contextual Attention

Developed a conversational AI system using Streamlit and Gemini AI with contextual attention and memory. Enabled personalized, context-aware interactions for a more human-like chatbot experience.

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