workflow engines , Python, tool function calling, tracing observability tooling, Logfire, AI systems in production, prompting, Temporal, OpenTelemetry, pydantic-ai, LiteLLM, MCP, agent architectures

Apis, Performance Monitoring, Version Control, Gcp, MLops, Azure, Python, Statistical Analysis, Machine Learning Algorithms, AWS, data preprocessing, cloud platforms, production-ready ML pipelines, model evaluation, deep learning techniques, feature engineering, model lifecycle management, model optimization, hyperparameter tuning

data engineering , Sqlalchemy, Nlp, Celery, Python, AWS EKS, Ml, FastAPI, Kubernetes, Airflow, pgvector, Pinecone, confidence calibration techniques, data ingestion pipelines, LLM output validation frameworks, Pydantic, vector database, semantic search, Ai, embedding models, prompt engineering, LLM evaluation frameworks, Claude API, Weaviate

triton , Pytorch, Docker, Python, Kubernetes, Airflow, pgvector, Qdrant, GPTQ, MLflow, Pinecone, LangGraph, GGUF, Kubeflow, MLOps tools, quantization techniques, AWQ, CrewAI, LangChain, Weights Biases, Hugging Face ecosystem, Scikit-learn, vLLM, AutoGen, TGI, FAISS, Weaviate, LlamaIndex

amazon sqs , snowflake , Golang, Cassandra, Grafana, Sql, Tensorflow, New Relic, Nosql, Rabbitmq, Numpy, Postgres, Databricks, Python, Restful Services, AWS, GenAI, MLlib, NLP libraries, ScikitLearn, Agentic AI, Apache Kafka MSK

Github, Json, Tensorflow, Numpy, Git, Pandas, Gcp, Pytorch, Docker, Rest Apis, Azure, Kubernetes, Python, AWS, scikit-learn, LLM application patterns, RAG

Docker, Rest Apis, Python, AI Agents Workflow Integration, CrewAI, LangChain, Generative AI, Hugging Face, AutoGPT, LangGraph, LLM Prompt Engineering, OpenAI APIs

Machine Learning, Sql, Deep Learning, Tensorflow, Numpy, Git, Pandas, Pytorch, Gcp, MLops, Docker, Rest Apis, Azure, Python, AWS, Scikit-learn, CI CD