I'm currently pursuing a second Master's degree in Interdisciplinary Data Science at Duke University, specializing in:
- Data Engineering
- Cloud Computing in AWS and Azure
- Large Language Models (LLMs) with RAG
I hold a Bachelor's degree in Mechanical Engineering from the University of Sheffield (UK) and have worked as a PhD researcher in biomechanics at Imperial College London. My journey has taken me through a variety of industrial and academic sectors, which has shaped my deep passion for:
- Data Analytics π§
- Programming π»
- Cloud Computing βοΈ
I am eager to leverage my interdisciplinary potential and push the boundaries beyond the traditional engineering field, applying data-driven insights to real-world problems.
- Programming: Python, R, SQL, JavaScript
- Data Engineering: ETL pipelines, Data Warehousing, Apache Spark, Airflow
- Machine Learning: TensorFlow, Scikit-Learn, PyTorch
- NLP: Transformer Models (BERT, GPT), NLTK, SpaCy
- Cloud: AWS (S3, Lambda, EC2), GCP, Azure
- DevOps: Docker, Kubernetes, CI/CD
- Building scalable data pipelines and exploring distributed computing
- Diving deep into Large Language Models for advanced NLP applications
- Exploring the intersections of mechanical engineering and data science
- Advanced Natural Language Processing techniques
- Optimizing cloud infrastructures with AWS and GCP
- Implementing LLMs to solve real-world problems
- LinkedIn: Bob Zhang
- GitHub: BobZhang26
- Personal Website: Bob Zhang
- Youtube channel: Bobby Zhang
Feel free to reach out! I'm always open to collaboration, especially in the areas of data science, cloud computing, and machine learning. π

