scalable architecture , Large Language Models (LLMs), Tensorflow, Backend Development, Pytorch, MLops, Opencv, System Design, Python, Computer Vision, DeepStream, Airflow, AI Agents, TensorRT, MLflow, Edge AI Deployment, ONNX, On-Premise Deployment, Kubeflow

Tensorflow, Nlp, Pytorch, Docker, Machine Learning Algorithms, Python, AWS, Sql, Gcp, MLops, Azure, Kubernetes, Computer Vision, AI Agents, Hugging Face Transformers, Deep Learning Architectures, Transformer Models, Multi-Agent Systems, LangChain, Generative AI, Scikit-learn, LLM Fine-tuning, RAG, Prompt Engineering

PostgreSQL, Redis, Git, Python, OpenAI Embeddings, APScheduler, Elasticsearch 8.x, FAISS, Linux environments, HuggingFace

Devops, MLops, Natural Language Processing, Azure, Python, AWS, Computer Vision, Generative AI, Data Analysis, Deployment on Server and IoT, Large Language Models

Tensorflow, REST, Pytorch, Gcp, Docker, Keras, Azure, Kubernetes, Python, AWS, Qdrant, MLflow, GRPC, GitHub Actions, DVC, FAISS, MLOps tools, Milvus

Machine Learning, Nlp, Artificial Intelligence, Python, Planning tool selection, Reasoning memory, Multi-agent coordination

Pyspark, Nlp, Python, Generative AI, Deep learning models, Prompt engineering, Database-oriented system, Llm, Agentic AI, Azure AI Engineer, Transformers, RAG

Unit Testing, Big Data Technologies, Sql, Microservices, Nosql, Git, System Architecture, Containers, Rest Apis, Python, Kubernetes, Data Analysis, message queues, RAG systems, LLMs, text-to-SQL, prompt engineering, AI guardrails, MCP Model Context Protocol, function tool calling, modular design, structured output

Terraform, Docker, Shell Script, Python, Google Cloud Platform, Sql, Kubernetes, Vertex AI