AI/ML Engineer
View the Project on GitHub shabanshaik/shabanashaik.github.io
AI/ML Engineer with a strong foundation in data analytics and software engineering. Currently pursuing my Master’s in Advanced Data Analytics at the University of North Texas. Previously worked as an Associate Engineer at L&T, where I developed expertise in building data-driven solutions.
I’m passionate about applying machine learning and deep learning to solve real-world problems in healthcare, energy, and emerging AI technologies.
Deep Learning for Power Plants
Built predictive models using CNN and RNN architectures to forecast cooling system performance in power plants. Applied deep learning for industrial optimization and predictive maintenance.
Tech: Python, TensorFlow, Keras, CNN, RNN, Time Series Analysis
ML for Healthcare
Developed a machine learning system that provides customized diet suggestions based on user health profiles, applying predictive learning approaches for personalized nutritional recommendations.
Tech: Python, scikit-learn, Pandas, Machine Learning, Classification
Large Language Models
Hands-on exploration of running and fine-tuning Large Language Models locally for various NLP tasks.
Tech: Python, LLMs, NLP, Transformers
Programming: Python, SQL, R
Machine Learning: scikit-learn, XGBoost, Random Forest, Regression, Classification, Clustering
Deep Learning: TensorFlow, Keras, PyTorch, CNN, RNN, LSTM, Transformers
NLP: LLMs, Hugging Face, Text Classification, Sentiment Analysis
Data & Visualization: Pandas, NumPy, Power BI, DAX, Matplotlib, Seaborn
Tools: Jupyter, Git, Docker, Google Colab, Dynamics 365
Databases: MySQL, PostgreSQL, MongoDB
🎓 MS in Advanced Data Analytics
University of North Texas | Currently Pursuing
💻 GitHub