data engineering , Machine Learning, Data Science, data mining, pipeline design, Ai, analytical storytelling, model monitoring

Machine Learning, Deep Learning, Tensorflow, MLops, Pytorch, Docker, Kubernetes, Python, LangChain, Generative AI, Agent Frameworks, Hugging Face Transformers, Vector Databases, Embeddings, RAG, Prompt Engineering, LlamaIndex

Tensorflow, Pytorch, Docker, Spark, Databricks, Kubernetes, Python, AWS, experiment tracking, scikit-learn, MLflow, CI CD, gRPC APIs, model registries, MLOps tools, model lifecycle management

Machine Learning, Python, Java, LLMs, SLMs, PEFT

Pyspark, Tensorflow, Numpy, Git, Pandas, XGBoost, Keras, Python, LightGBM, TensorFlow Serving, TensorRT, MLflow, ONNX, Kubeflow, TorchServe, AWS ML pipelines

C, shell scripting, Python, AI model inference, accuracy-performance tradeoffs, debugging performance issues, AI deployment stacks, quantization

S3, Machine Learning, Pytorch, Docker, Sqlite, XGBoost, Postgres, Python, AWS, Matplotlib, Sql, Jenkins, Pandas, HuggingFace, LabelBox, OpenSearch, ML pipelines, MosaicML, LightGBM, Amazon EKS, Scikit-learn, DVC, Transformers, NVIDIA NeMo, Jupyter