Passionate AI Engineer with expertise in building intelligent systems that solve real-world problems. Specializing in Large Language Models (LLMs), Neural Networks, and Machine Learning pipelines, I create cutting-edge AI solutions that drive innovation. Currently pursuing Master's in AI at Monash University, I combine academic rigor with practical industry experience to develop scalable AI applications.
Cutting-edge projects showcasing the power of artificial intelligence
Tech Stack: Python, TensorFlow, MLOps, Docker, AWS
Built an intelligent system to predict remaining useful life of jet engines using advanced regression algorithms and ensemble methods. Implemented full MLOps pipeline with CI/CD, containerization, and cloud deployment.
Tech Stack: TensorFlow, Keras, OpenCV, Transfer Learning
Developed a sophisticated image classification system using state-of-the-art CNN architectures including ResNet, InceptionNet, MobileNet, and DenseNet. Achieved high accuracy through transfer learning and data augmentation techniques.
Tech Stack: BERT, RoBERTa, Transformers, Scikit-learn
Solved Quora's duplicate question detection challenge using advanced NLP techniques. Implemented BERT and RoBERTa encoders alongside traditional ML approaches with GloVe embeddings and ensemble methods.
Tech Stack: LSTM, ARIMA, Prophet, Python
Developed advanced time series forecasting models for retail sales prediction. Implemented multiple ML algorithms including LSTM neural networks, ARIMA, and Facebook Prophet for accurate demand forecasting.
Tech Stack: K-Means, DBSCAN, PCA, Scikit-learn
Built intelligent customer segmentation system using unsupervised learning algorithms. Applied K-Means clustering, DBSCAN, and dimensionality reduction techniques to identify customer patterns and provide personalized recommendations.
Below are the details to reach out to me!
Melbourne , Australia