I am a Senior Machine Learning Engineer with a focus on Natural Language Processing (NLP) and ranking models. I am passionate about developing and deploying machine learning models that have a significant impact. With a strong background in both research and practical implementation, I thrive on turning complex problems into innovative solutions.
- Languages: Python, Java, C++
- Machine Learning: TensorFlow, PyTorch, scikit-learn, Tecton, SageMaker
- Frameworks & Libraries: React, Node.js, Express
- DevOps & Cloud: Docker, Kubernetes, AWS, Tecton, SageMaker, DynamoDB, CI/CD
- Databases: MySQL, PostgreSQL, MongoDB, Redis, DynamoDB
- Others: Git, GitHub Actions, Terraform, Ansible
- Feature Store Development: Building and maintaining a feature store using Tecton to streamline the feature engineering process.
- ML Model Research & Development: Researching and developing state-of-the-art NLP and ranking models.
- Model Deployment: Deploying machine learning models to production using AWS SageMaker.
- NLP Chatbot: Developing an advanced NLP-based chatbot to improve customer service interactions.
- Recommendation System: Creating a personalized recommendation system for e-commerce platforms.
- Real-time Sentiment Analysis: Implementing a real-time sentiment analysis tool for social media monitoring.
- Advanced Kubernetes: Deepening my understanding of Kubernetes and its ecosystem.
- Cutting-edge NLP Techniques: Exploring the latest advancements in NLP to enhance model performance.
- MLOps Best Practices: Implementing MLOps best practices to streamline the deployment and monitoring of ML models.
- Email: wiwang@example.com
- LinkedIn: Wi Wang
- GitHub: wiwang
Feel free to connect with me on LinkedIn or drop me an email. I am always open to discussing new projects, ideas, or opportunities to collaborate.
"The only way to do great work is to love what you do." - Steve Jobs