About
Detail-oriented Full Stack Developer with a strong foundation in Python, Django, and Flask, skilled in building scalable, user-friendly web applications. Proven ability to optimize performance and apply machine learning solutions, demonstrated through developing AI models for disease prediction and automating processes to deliver high-quality, business-aligned solutions.
Work
Hyderabad, Telangana, India
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Summary
Developed and deployed advanced AI solutions, including CNN and YOLO models, to enhance agricultural disease prediction and detection for regional agriculture.
Highlights
Developed and deployed AI solutions for mango tree disease prediction using CNN models, enhancing diagnostic accuracy and efficiency.
Engineered robust models for mango tree detection in images/videos utilizing YOLO frameworks, improving visual analysis capabilities.
Created and meticulously annotated proprietary datasets for mango tree disease detection, directly improving model accuracy and generalization.
Supported deep learning-based disease classification initiatives, contributing to significant advancements in regional agricultural health.
Collaborated on dataset enhancement, model training, and AI deployment, ensuring seamless integration of solutions into operational workflows.
Education
Languages
English
Telugu
Hindi
Skills
Programming Languages
Python, Java, C++, SQL, HTML, CSS, JavaScript.
Frameworks & Libraries
Django, Flask, Pandas, NumPy, Scikit-learn, OpenCV.
Data Visualization
Matplotlib.
Development Tools
Jupyter Notebook, Kaggle.
Databases
MySQL, SQLite.
Core Concepts
Data Structures, Algorithms, Object-Oriented Programming (OOP).
AI/Machine Learning
CNN Models, YOLO Frameworks, Deep Learning, Model Training, AI Deployment.
Web Development
Front-end Development, Back-end Development, Responsive UI, Authentication Systems, Booking Systems.