Passionate about building intelligent solutions using artificial intelligence and machine learning to solve real-world problems.
I'm a Computer Science graduate with a specialization in Artificial Intelligence from Stanford University. My journey in AI began when I built my first neural network to predict stock prices, and I've been fascinated by the potential of machine learning ever since.
Currently, I'm working as an AI Research Intern at DeepMind, where I contribute to cutting-edge research in reinforcement learning and natural language processing. My goal is to develop AI systems that are not only powerful but also ethical and beneficial to society.
When I'm not coding, you can find me reading research papers, participating in Kaggle competitions, or mentoring students in AI through various online platforms.
Specialized in neural networks, CNN, RNN, and Transformers.
Expert in extracting insights from complex datasets.
Experience with BERT, GPT, and other language models.
Skilled in image classification and object detection.
DeepLearning.AI
Mastered neural networks, CNNs, RNNs, and Transformers through hands-on projects.
Stanford University
Learned fundamentals of machine learning algorithms and their practical applications.
Gained practical skills in building and training models with TensorFlow.
I'm always open to discussing AI projects, research opportunities, or potential collaborations. Whether you have a question or just want to say hi, I'll try my best to get back to you!
Email me at
alex.chen@aiengineer.comBased in
San Francisco, CA