Machine Learning Engineer who translates caffeine into code and teaches computers to dream. "Been tangling with code since 2018, juggling numbers, wrestling fluid simulations, and sweet-talking machines into solving problems they didn't even know they had!"
- Languages: Python, R, C++
- Libraries/Frameworks: PyTorch, Scikit-Learn, Pandas, NumPy, Huggingface, Scrapy
- Tools: Jupyter Notebook, Git, Docker, Kubernetes, AWS, Azure
- Databases: MySQL, Neo4j, MongoDB, Elastic Search
- Others: Data Visualization, Machine Learning Model Deployment, API Development, MLOps
- Advanced techniques in LLM quantization
- Cloud Services for ML Deployment (e.g., AWS SageMaker, Azure ML)
- Big Data Technologies (e.g., Apache Spark, Hadoop)
- Open Source Machine Learning Projects
- Research Projects in LLM and AGI
- Innovative ML applications