Java, Machine Learning, Node.js, Azure Cloud, MLops, Software Engineering, Azure Functions, Python, LangChain, Cloud-native Architecture, Azure Container Apps, LangGraph, Data Algorithms, RAG, Vector Embeddings, Prompt Engineering

Sqlalchemy, React, Pytorch, Docker, Typescript, Postgres, FastAPI, Azure, Python, LangChain, HuggingFace, Alembic, OpenAI, LlamaIndex

API design, Angular, Microservices, Vue.JS, React, Databases, Application Architecture, Authentication, Python, Testing, Backend application development, Vector databases, Data integrations, Deployment, AI integration patterns, Generative AI technologies, Java or JVM-based enterprise systems

Gcp, Azure, Python, AWS, LangChain, OpenAI SDK, LoRA, LlamaIndex, QLoRA, vector databases, RAG pipelines

FastAPI, Redis, Python, AWS, PostgreSQL with pgvector, LLM APIs, security and privacy by design, agentic tool use, consent management, generation and embeddings, UK GDPR data erasure, async production service, LLM systems, data architecture for people and relationships, multi-tenant AI systems, recommendation ranking or matching systems, Access Control, audit trails

Power Bi, Databricks, Python, LangChain, CrewAI, MMM forecasting, RBA incrementality, LangGraph, Genie spaces, LLM orchestration frameworks, Data science models, Multi-agent systems, AI orchestration

Git, Docker, FastAPI, Python, Vector databases, RAG implementation, LLM API usage

Python, Audit logging, Failure-mode thinking, LLM tool-calling

Apis, Random Forest, Docker, XGBoost, Python, LangChain, embeddings, n8n, LLMs, Pinecone, Semantic Kernel, Chroma, FAISS, RAG, LlamaIndex, Prompt Engineering

Nlp, Ml, Python, retrieval, LLM interfaces, agentic AI systems, LLM pipelines, memory evaluation, fine-tuning, prompt engineering, Evaluation