About
Aspiring Python Developer with hands-on experience applying computer vision techniques to real-world image-processing and classification problems. Built and validated end-to-end model pipelines and is seeking an entry-level role to grow backend skills.
Experience
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Rice Blast Disease Prediction ModelSAK InfomaticsJan 2024 – Apr 2024
Built a rice blast disease prediction model by integrating SMOTE oversampling with a multilayer perceptron to address class imbalance; tuned the neural network architecture to reduce false negatives; processed rice leaf image samples for training and validation.
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Rain, Fog & Haze Detection SystemSAK InfomaticsJan 2020 – Apr 2020
Built a Python-based OpenCV pipeline to detect and remove rain, fog, and haze artifacts from image and video frames; optimized dehazing for real-time traffic camera input; validated performance across test images and video clips spanning varied weather conditions.
Education
- 2024
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2018
IntermediateSri Chaitanya Junior KalasalaScience · 2016 – 2018
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2016
SSCPanchavati Vidyalaya2016 – 2016
Skills
Tools / apps / platforms
Projects
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Rice Blast Disease Prediction ModelSMOTE, Multilayer Perceptron
Improved prediction accuracy by integrating SMOTE oversampling with a multilayer perceptron to address class imbalance in the dataset.
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Rain, Fog & Haze Detection SystemOpenCV
Improved image clarity in low-visibility driving conditions by building a Python-based OpenCV pipeline to detect and remove rain, fog, and haze artifacts from image and video frames.