
Software engineer, with experience in different stages of Software Development Lifecycle. Proud team player focused on achieving project objectives with speed and accuracy.
Languages: C, Java, Python, SQL
Web Technologies: HTML, CSS, JavaScript, Flask
Visual Studio, Eclipse
Linux
Agile
GIT
CI/CD
Published a paper on RICE DISEASE CLASSIFICATION USING DEEP CONVOLUTIONALNEURAL NETWORK in IJITEE Journal on Feb'2020
Link: https://www.ijitee.org/wp-content/uploads/papers/v9i4/D1112029420.pdf
Rice Disease Classification Using Deep Convolutional Neural Network:
- Developed an InceptionCNN (Convolutional Neural Network) Model from scratch, using TensorFlow, for the classification of Rice Diseases.
- The model was incorporated in the form of an android application (developed using Kotlin). The application was able to detect and identify the disease with a good amount of accuracy.
Microsoft Certified: Azure Fundamentals
Microsoft Certified: Azure Fundamentals