I'm Kevin Pulikkottil, a Computer Science student at The University of Texas at Dallas (Class of 2026). I’m passionate about AI, machine learning, and innovative software development. I love tackling challenging problems - from building machine learning models for medical diagnostics to developing efficient software solutions.
- Currently working on AI research and software engineering projects.
- Continuously learning new technologies like TensorFlow, AWS, and more.
- Passionate about solving complex problems in algorithms, data structures, and AI.
- Feel free to ask me about my projects, cloud computing, or AI innovations.
- Breast Cancer Detection Model: Developed a machine learning model in Python (scikit-learn, pandas, NumPy) on the Breast Cancer Wisconsin Dataset, achieving 92% accuracy.
- Handwritten Digit Recognition: Built a CNN using TensorFlow and Keras to classify handwritten digits (MNIST Dataset) with 98% accuracy.
- Diabetes Metrics Prediction: Created a regression model in Python that improved predictive accuracy by 15% through feature engineering.
- Text Summarization with NLP: Developed a Transformer-based model achieving 90% coherence in text summaries.
- YOLOv3 Fine-Tuning: Enhanced object detection precision on a custom dataset for real-time applications.