Data Architecture, Ml, AWS, Python, Azure, Gcp, Apis, LLM integration, Ai, scalable backend systems, model evaluation, performance optimisation, prompt engineering

.NET, Github, Paas, Nodejs, ADO, Angular, Tensorflow, Nosql, React, Pytorch, Sonarqube, Python, AWS, Java, Sql, DevSecOps, AWS Bedrock, micro-services, SRE, LangFuse, MLflow, Azure OpenAI, LangSmith, FaaS, LangGraph, Vertex AI, LangChain, Lean, FinOps, infrastructure-as-code, unit testing frameworks, Xp

Microservices, AWS, Nltk, Node.js, Azure, Gcp, Nlp, Javascript, Restful Apis, LLMs, OpenAI, Claude, Hugging Face, cloud platforms, NLU libraries and tools, Rasa, LLaMA, SpaCy

Orchestration, C#, C++, Deep Learning, Numpy, Pytorch, Pandas, Decision Trees, Clustering, Python, Etl, LangChain, embeddings, vector search, agentic AI, tool calling, retrieval-augmented generation, CNNs, prompt engineering, LangGraph, ensembles

Sql, Python, time-series forecasting, Generative AI tooling, R, tree-based models, classical ML modeling, observability monitoring tools

System Design, Application Development, Python, Testing, Databricks, Kubernetes, Cloud-native deployment patterns, Operational stability for ML or data-intensive systems, CI/CD, Containerisation