Azure Cloud Services, Python, LangChain, AI Agents, GenAI Prompt Engineering, LLMs, vector databases, Pinecone, Azure OpenAI, Semantic Kernel, FAISS, RAG, ChromaDB

Java, Api Integration, Typescript, Gcp, System Design, Azure, Python, AWS, Prompt engineering, pgvector, Vector databases, Go, Generative AI LLM application development, Pinecone, agentic workflows, RAG, AI agents, Weaviate, LLM evaluation, LLM-powered application feature

software engineering practices , Testing, Microservices, Git, Rest Apis, Python, LangChain, Generative AI, AI safety guardrails, AI agent architectures, vector databases, Semantic Kernel, LangGraph, Agentic AI concepts, AI agents, function tool calling, RAG pipelines, LLM-based applications, responsible AI practices, Prompt Engineering, LlamaIndex, LLM evaluation, observability

Sql, Pytorch, Databricks, FastAPI, Python, LangChain, hybrid RAG architectures, model fine-tuning, RRF, vector databases, MLflow, Azure OpenAI, dense retrieval, LangGraph, BM25, FlashRank, Ollama, reranking, Milvus, Microsoft Graph API

Azure, Kubernetes, Python, Docker, Microservices, AWS, multi-Agent AI system design, training ANN for NLP, GenAI solutions design

bayesian inference , Sentiment Analysis, Tensorflow, Pytorch, Python, ML algorithms, LLMs, transfer learning, Hugging Face, text generation, language modeling, reinforcement learning, transformer architecture, R, Julia, Fine Tuning, Gen AI libraries, neural network frameworks, NLP techniques, OpenAI, RAG pipelines, NER

Python, Sql, Git, Rest Apis, LangChain, RAG workflows, LlamaIndex, prompt engineering

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