Python, Sql, Production ML, Embeddings

Ml, San, Pytorch, Al

Machine Learning, Deep Learning, Tensorflow, Numpy, Gcp, Pytorch, Pandas, Docker, Flask, Keras, FastAPI, Azure, Python, Kubernetes, AWS, Generative AI, LLM Fine-Tuning, Scikit-learn, Vector Databases, Hugging Face Ecosystem, RAG

Machine Learning Algorithms, Python, Metadata Management Tools, AI ML Implementation, NLP Libraries, Data and Software Development

FastAPI, embedding pipelines, LangChain, idempotency, message queues, Anthropic APIs, distributed systems patterns, Pinecone, LangGraph, AutoGen, asyncio, Vertex Matching Engine, FAISS, event-driven architecture, structured logging

Machine Learning, Prometheus, Grafana, Datadog, Tensorflow, Pytorch, Docker, XGBoost, Python, AWS, Apache Spark, Sql, Azure ML, Git, Gcp, MLops, Azure, Kubernetes, MLflow, CI CD, Kubeflow, Google Vertex AI, Scikit-learn, AWS SageMaker

BigQuery, Gcp, FastAPI, LangChain, Async Python patterns, pgvector, Claude, Pinecone, LangSmith, LangGraph, OpenAI APIs, Vertex AI, AI LLM Engineering, vector DBs, Ragas, Gemini, Weaviate

Apache Spark, Sql, Tensorflow, Pytorch, Docker, XGBoost, Databricks, Kubernetes, Python, CrewAI, scikit-learn, Feature Store, LightGBM, RAGAS, MLflow, LangSmith, Unity Catalog, AutoGen, LangGraph, Delta Lake

Java, Rest Apis, Generative AI, AI evaluation methodologies, Python APIs, Prompt Management, Vector Databases, Agentic AI, Production-grade AI Agents, Multi-Agent Systems, AI ML technologies, Prompt Engineering, Data ingestion pipelines