Tensorflow, Pytorch, Docker, Keras, Kubernetes, Python

bedrock , Nlp, Git, MLops, Flask, Python Programming, FastAPI, Azure, AWS, Generative AI, LLMOps, AWS Batch, EKS, Transformers, AI ML technologies

Google Cloud, FastAPI, Rest Apis, Azure, Python, AWS, LangChain, Generative AI, LLMs, vector databases, Pinecone, LangGraph, FAISS, ChromaDB, Weaviate, LlamaIndex, Prompt Engineering, RAG architectures

Java, Typescript, Gcp, Distributed Systems, Azure, Python, AWS, pgvector, Go, Copilot, Claude, Pinecone, Code Cursor, Llm, Gen AI, vector DBs, Weaviate, Windsurf

Machine Learning, Deep Learning, Python, GANS, Transfer Learning, Feature Engineering, Transformer-based Models, reinforcement learning, Model Fine-tuning, Generative Models, DALL.E, Data Processing, BERT, Streamlit, GPT-3, Variational Autoencoders, Prompt Engineering

Java, Apis, Tensorflow, Git, Pytorch, Docker, Agile, Azure Machine Learning, Kubernetes, Python, Generative AI, Data preprocessing, Hugging Face, GPT, OpenAI API, Agentic AI, R, AWS SageMaker, Transformers, GCP AI platform

Azure ML, Git, Gcp, Pytorch, Flask, FastAPI, Azure, Python, AWS, LangChain, Weights Biases, Generative AI, LLMs, Hugging Face Transformers, MLflow, Transformers, SageMaker pipelines, CI CD for ML

Microservices, Docker, Gitlab, Flask, Aws Cloud, Python, Api Development, REST, embeddings, OpenAI tools, vector databases, LangGraph, GitHub Actions, LLM-powered applications, LangChain 1.0, Agentic workflows, Generative AI, event-driven systems, RAG Retrieval Augmented Generation, PG Vector, document indexing, FAISS, CI CD pipelines, async programming