AI Engineer • Computer Vision Engineer • Software Engineer
Building intelligent software systems through Artificial Intelligence, Computer Vision, Machine Learning, and Python.
I am a Computer Science graduate with a strong interest in developing AI-powered software solutions that solve real-world problems. My experience spans Computer Vision, Machine Learning, Deep Learning, and full-stack AI application development.
During my internship, I worked on industrial Computer Vision solutions involving dataset preparation, annotation, model training, evaluation, deployment, and Python-based desktop applications. Alongside this, I have developed projects across NLP, cybersecurity, sustainability, and image classification, giving me hands-on experience in designing and deploying end-to-end AI systems.
I am currently seeking opportunities where I can contribute as an AI Engineer, Computer Vision Engineer, or Software Engineer while continuing to build scalable and impactful intelligent systems.
- Python
- Java
- C++
- SQL
- Machine Learning
- Deep Learning
- Computer Vision
- Natural Language Processing
- TensorFlow
- PyTorch
- OpenCV
- Scikit-learn
- Ultralytics YOLO
- Pandas
- NumPy
- Matplotlib
- Flask
- PyQt
- MongoDB
- Git
- GitHub
An intelligent grievance management platform that automates complaint classification, routing, and email notifications using Machine Learning and Natural Language Processing.
Technologies: Python, Flask, MongoDB, Scikit-learn, SMTP
Developed a hybrid Machine Learning and Deep Learning framework that combines feature selection and fuzzy logic to improve intrusion detection accuracy while reducing false positives.
Highlights
- 98.4% Detection Accuracy
- 18% Reduction in False Positives
Developed an AI-powered desktop application that predicts water quality, harvestable rainwater quantity, and renewable energy potential using multiple Machine Learning models integrated with a PyQt interface.
Implemented and compared multiple Machine Learning and Deep Learning models for automated rice variety classification using image processing techniques.
- Artificial Intelligence
- Computer Vision
- Machine Learning
- Deep Learning
- Intelligent Automation
- Software Engineering
- LinkedIn: https://www.linkedin.com/in/gowthamravuri/
- GitHub: https://github.com/GowthamRavuri01
- Email: gowthamravuri01@gmail.com