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

.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

Databases, Integrations, Apis, Software Engineering, AI evaluation infrastructure, multimodal systems, long-running agents, production LLM products

Asynchronous programming, Typescript, Node.js, Python, Databases, Go, Arize, distributed systems design, LLM observability, Langfuse, LlamaIndex, clean API contracts, OpenTelemetry, production tracing frameworks, vector search architectures, agentic orchestration patterns, AutoGen, Caching, CrewAI, Generative AI, LangGraph

BigQuery, Gcp, Router, Python, TanStack Query, Langgraph, Claude Anthropic APIs, LLM orchestration, Spanner, Zustand

Oauth, Http, logs, tool calling, traces, production systems with language models, data stores, structured outputs, third-party APIs, Failure Analysis, webhooks, queues, retrieval, multi-step workflows, agent memory, evals, fast iteration

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

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

Python, Sql, API-based integration, prompt engineering