Sql, Tensorflow, Nosql, REST, Pytorch, Flask, FastAPI, Python, LangChain, LLMs, scikit-learn, pgvector, Pinecone, LangGraph, parameter-efficient fine-tuning, LoRA, RAG, Weaviate, QLoRA, LlamaIndex, websockets

Machine Learning, PostgreSQL, Sql, Redis, Tensorflow, Nosql, Pytorch, MySQL, Flask, FastAPI, MongoDB, Python, Langchain, scikit-learn, pgvector, Pinecone, Langgraph, Streamlit, Weaviate, LlamaIndex

triton , Tensorflow, Pytorch, Docker, Python, Kubernetes, DeepSpeed, Accelerate, Scikit-learn, Hugging Face, MLflow, vLLM, SageMaker, Llama-family models, TGI, Kubeflow, FSDP, GPT-style models

Deep Learning, Nlp, Docker, Flask, AWS, Machine Learning, Unsupervised Learning, Computer Vision, FastAPI, Azure, Kubernetes, model training, SLMs, supervised learning, MLflow, state-of-the-art algorithms, ML pipelines, Kubeflow, MLOps tools, ML NN and Agentic models, data ingestion, LLMs, generative AI, AI-driven solutions, CI CD pipelines, model serving API development

Neural Networks, Deep Learning, Nlp, Docker, Flask, Python, AWS, FastAPI, Azure, Kubernetes, Computer Vision, GenAI LLMs, ML system architecture, MLflow, CI CD, complex AI architectures, Kubeflow, ML engineering, supervised ML, model performance optimisation, LLMs, end-to-end ML pipelines, Agentic AI models, traditional ML, unsupervised ML, batch inference, fine-tuning SLMs

Machine Learning, Deep Learning, Docker, Flask, FastAPI, Azure, Kubernetes, AWS, Computer Vision, Generative AI, MLflow, Kubeflow

Tensorflow, Pytorch, Python, Nlp, large language models, generative AI frameworks

Data Science, Python, Artificial Intelligence, Machine Learning, generative AI tools, large language models, ML frameworks, fine-tuning strategies, modern ML ecosystems

Devops, Python, Kubernetes, CI CD, VLLM, AKS, Agentic Pipelines, LLMOps, Slang, Azure Pipelines