shaik seema User

I’m an entry-level Software Engineer with a strong foundation in Java, SQL, Object-Oriented Programming, and Data Structures. I enjoy turning data and models into working backend logic for real applications.

In my “Artificial Intelligence Intern – ONESTOP” experience, I designed and implemented CNN-based image classification models using TensorFlow. I also developed backend logic in Python for text classification and image recognition systems, covering data collection, preprocessing, and model evaluation.

My projects reflect how I work end-to-end: I built a “Smoking Detection System (ML-Based Application)” using CNN with OpenCV and PIL preprocessing, and I used Flask/Django to display detection results. I also created a “Traffic Control Management System” with rule-based congestion handling and simulated real-world traffic scenarios.

I’m now seeking an “Associate Software Engineer” role where I can contribute to scalable and reliable applications while continuing to strengthen my engineering fundamentals in backend development and machine learning-based software systems.