error analysis , Tensorflow, Pytorch, Docker, Python, LangChain, Evaluation metrics, pgvector, Qdrant, Statistical testing, Container orchestration, MLflow, Pinecone, LLM orchestration frameworks, API integrations, Cloud deployments, Vector search engineering, LlamaIndex, MLOps fundamentals

Numpy, Predictive Modeling, Pandas, Amazon Redshift, Python, Aws S3, Jupyter Notebooks, Feature Engineering, Scikit-learn, Traditional Machine Learning, Model Testing and evaluation

Sql, Tensorflow, Pytorch, Gcp, MLops, Docker, Spark, Azure, Kubernetes, Python, AWS, Generative AI, LLMs, Scikit-learn, Agentic AI, RAG

error analysis , Deduplication, Pytorch, Python, Cloud Storage, Statistical Analysis, data augmentation, model training, model-based labeling, distributed compute, Active Learning, VLMs, Hugging Face LLMs, ablation studies, dataset curation, benchmark evaluation, workflow orchestration, weak supervision, Batch Processing, inference evaluation, synthetic-data generation, Production Monitoring, data-quality measurement, diffusion models, multimodal models

Tensorflow, Nlp, Jax, Pytorch, Python, ASR, TTS, Llm

Java, Docker, Kubernetes, Python, TFX, AWS SageMaker, Kubeflow, Google Vertex AI, Go, MLflow, Metaflow