BigQuery, Google Cloud Platform, Sql, Python, ML Agent Development Framework, third-party LLMs, Cloud Build, Anthropic, Azure OpenAI, message-driven development, AI services, Document AI, GitHub Actions, microservices architecture, Vertex AI, CI CD pipelines, OpenAI, Gemini, API-driven development, Google Agent Development Kit

text classification , Machine Learning, Tensorflow, Nosql, Numpy, Nlp, Pytorch, Python, Matplotlib, Redis, Deep Learning, Git, Pandas, Linux, Opencv, Seaborn, MongoDB, FastAPI, Ocr, Google Gemini, VS Code, Image Classification, Generative AI, OpenAI GPT, YOLO

bedrock , Tensorflow, Pytorch, Neo4j, Python, Databricks, FastAPI, pgvector, GPT-4o, MLflow, Pinecone, Azure OpenAI, CLIP, OpenSearch, Whisper, LangGraph, AWS Neptune, GCP Vertex AI, BERT, LLaVA, RLHF, CrewAI, PEFT, T5, AutoGen, AWS SageMaker, LoRA, Gemini

bedrock , Sql, REST, FastAPI, Python, Airflow, pgvector, RAGAs, OPA Gatekeeper, Ray, Pinecone, Azure OpenAI, Prefect, OpenSearch, GRPC, Semantic Kernel, LangGraph, Presidio, Vertex AI, OpenAI, Weaviate, Promptfoo

data engineering , Nosql, Python, AWS, Apis, Sql, Gcp, Azure, Anthropic Claude, embeddings, vector search, vector databases, Azure OpenAI, AI-ready systems, backend systems, RAG pipelines, LangChain, LLMs, Semantic Kernel, structured data pipelines, unstructured data pipelines, scalable architectures, OpenAI, LlamaIndex

Numpy, Jenkins, Pandas, Cloudwatch, Pytorch, Python, LangChain, AWS Bedrock, scikit-learn, LangGraph, GitHub Actions, AWS SageMaker, HuggingFace Transformers, RAG pipelines

Machine Learning, Gcp, Docker, Azure, Kubernetes, AWS, Agentic Frameworks

bedrock , Neo4j, Python, Databricks, FastAPI, pgvector, MLflow, Pinecone, Azure OpenAI, CLIP, OpenSearch, LangGraph, Whisper, AWS Neptune, GCP Vertex AI, BERT, LLaVA, RLHF, CrewAI, PEFT, Generative AI, T5, AutoGen, AWS SageMaker, LoRA, Gemini, GPT-4

Github, Swagger, Postman, Python, Apis, PostgreSQL, Google Cloud Platform, Inference parameter optimization, Retrieval-Augmented Generation, Firestore, Large Language Models, Vector-based information retrieval, semantic search, Embeddings, Generative AI, Prompt engineering