Tensorflow, MLops, Pytorch, XGBoost, AWS, Python, Kubernetes, Docker, Apis, Microsoft Azure, Google Cloud Platform, Weaviate, LlamaIndex, Prompt Engineering, Semantic Kernel, AI Agents, LangChain, Pinecone, ChromaDB, Scikit-learn, vector databases, Generative AI technologies, Azure AI Search, Conversational AI solutions, microservices architecture, FAISS

Data Factory, Emr, Data Warehousing, Tensorflow, DataFlow, Deep Learning, Etl, Pytorch, Gcp, ELT, S3, Apache Spark, AWS, Python, Azure, Nlp, Generative AI, LLMs, HDInsight, LlamaIndex, Hugging Face, LangChain, Pinecone, ChromaDB, RAG architectures, FAISS

data engineering , Agile Development Methodologies, Continuous Integration, Microservices, system integration, Microsoft Azure, AWS, Apis, MLops, CodeWhisperer, cloud-native solution development, Hugging Face, vector databases, AWS Developer CLI, Agentic AI solutions, agentic AI orchestration, AI-assisted coding tools, fine-tuning LLMs, AI ML frameworks, vibe coding environments, LangChain, DevOps practices, prompt engineering, GitHub Copilot, OpenAI, real-time data processing

containerisation with Docker, secrets management, pipeline automation with Azure DevOps, networking and load balancing, relational and non-relational databases, developing production-grade backend services using Python, asynchronous programming frameworks, cloud provisioning frameworks such as Terraform or CloudFormation, infrastructure-as-code, LLM API gateway technologies, container orchestration such as ECS Fargate, identity and access management technologies, observability and monitoring tools, multi-provider integration across major cloud AI platforms

Cloud Computing, Machine Learning, Data Visualization, Big Data, Python, Sql, Statistical Analysis, Deep Learning

Ml, MLops, Python, Computer Vision, Aerospace, Ai