causal inference , Azure, Python, Sql, AWS, LangChain, LangGraph, Experiment design, Statistics, LlamaIndex, Llm

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

Ml, Sql, Python, Statistical Analysis, Generative AI, observability monitoring tools, Ai, time-series forecasting, Llm, tree-based models, R, classical ML modeling

large language models (LLMs), Retrieval-Augmented Generation (RAG), Python, Sql, API-based integration, prompt engineering

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

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