Java, Machine Learning, Tensorflow, Pytorch, Python, Large-scale ML systems, Agentic Systems, Knowledge retrieval, Maintenance, Model training, Feature engineering, Data pipelines, Distributed training, Inference optimizations, Monitoring

Keras, Deep Learning, Tensorflow, Pandas, MLops, Numpy, Pytorch, Python, Running rigorous experiments, Machine Learning concepts and algorithms, scikit-learn, Retrieval and grounding systems, Scoring methods, Scaling and deploying machine learning models, Benchmark datasets, RESTful microservices API development