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

Image Processing, Computer Vision, Data Preprocessing, Cloud AI Services

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

AWS EKS, Sqlalchemy, Celery, FastAPI, Kubernetes, Python, Airflow, pgvector, embedding models, Pinecone, confidence calibration techniques, LLM output validation frameworks, RAG context, Pydantic, Weaviate, Claude API, semantic search

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

Apis, Microservices, system integration, MLops, Microsoft Azure, AWS, cloud-native solution development, continuous integration for AI models, AWS Developer CLI, Agentic AI solutions, GitHub Copilot, AI-assisted coding tools, vibe coding environments

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