Retrieval-Augmented Generation (RAG), Tensorflow, Pytorch, Gcp, Data Warehousing, Azure, Python, AWS, LangChain, Generative AI, LLMs, Hugging Face Transformers, ETL/ELT Tools, LlamaIndex

Python, Orchestration, Deep Learning, Numpy, Pandas, Pytorch, Decision Trees, Clustering, Etl, Anthropic Claude, LangChain, agentic AI solutions, embeddings, vector search, data pipelines, tool calling, retrieval-augmented generation, Azure OpenAI, CNNs, LangGraph, Evaluation, AI techniques and algorithms, ensembles

Apis, Microservices, system integration, MLops, Microsoft Azure, AWS, cloud-native solution development, continuous integration for AI models, AWS Developer CLI, Agentic AI solutions, GitHub Copilot, AI-assisted coding tools, vibe coding environments

Keras, Opencl, Java, Tensorflow, Django, Rust, Pytorch, Cuda, FastAPI, Kubernetes, Python, Docker, Flask, Azure ML, Go, ONNX, AWS Sagemaker, DeepStream, Caffe, TensorRT

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