React, Javascript, Python, HTML, SDLC engineering best practices, Secure development practices, Data pipelines or ETL processes, UX flows and usability principles

Docker, FastAPI, Python, SQL and NoSQL databases

Microservices, Docker, Python, AWS, Apis, Node.js, Gcp, Distributed Systems, Azure, Kubernetes, Prompt engineering, Event-driven systems, Go, Embeddings, Function calling, Tool calling, LLM evaluation, Generative AI, LLMs, Vector databases, Applied AI, Agent frameworks, Asynchronous execution, RAG

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

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

Machine Learning, Natural Language Processing, Scala, Python, Deep Learning, Embeddings, Go, Search Technologies, reinforcement learning, Retrieval Augmented Generation, Large Language Models

Sklearn, Python, AWS, Sql, Gcp, Containers, Azure, NL2SQL pipelines, embeddings, Pipelines, structured outputs, model registry, chatbots, LangChain, experiment tracking, tool function calling, LLMs, Forecasting, feature pipelines, analytics agents, drift monitoring, RAG, CI/CD, statsmodels, LlamaIndex

Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Python, Sql, Prompt engineering, API-based integration, Tool function calling patterns

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

Tensorflow, Ml, Sql, Deep Learning, AWS, Pytorch, Python, Nlp, Llm, DL, Langchain, RAG, Knowledge Graphs, Fast API, LangGraph