data preparation , Large Language Models (LLMs), Machine Learning, Tensorflow, Numpy, Pandas, Pytorch, Python, Generative AI, Scikit-learn, Model Training, OpenAI APIs, Prompt Engineering

Java, Natural Language Processing, Neural Networks, Tensorflow, Nltk, Git, Pytorch, Gcp, Azure, Pattern Recognition, Python, AWS, scikit-learn, Hugging Face, spaCy

Azure), Cloud platforms (AWS, Large Language Models (LLMs), Gcp, Python, Api Integration, MLops, System Design, Model monitoring, RAG systems, Hugging Face, Bias mitigation, Claude, Azure OpenAI, Embeddings, Evaluation metrics, Generative AI, OpenAI GPT, Vector databases, Semantic search technologies, Anthropic, Ethical AI practices, Fine-tuning techniques, Deployment pipelines, OpenAI, Responsible AI, Prompt Engineering

Python, decision-making systems, symbolic reasoning, Auto Gen, Transformers, LLMs, cognitive architectures, Lang Chain, reinforcement learning

Power Automate, Lambda, Typescript, Javascript, Rest Apis, Python, LangChain, Generative AI, AWS Bedrock, Knowledge Bases, Prompt engineering, LLMs, Vector databases, Claude, Semantic Kernel, AI guardrails, Agentic AI, RAG, MCP, semantic search, Microsoft Copilot Studio

Webrtc, Python, ASR, WebSockets, STT, TTS, RAG, Self-hosted AI, LiveKit

Databases, Ml, Apis, Nlp, Git, Web Applications, Testing Tools, automation, Generative AI, LLMs, AI Agents, deployment environments, Ai, cloud platforms, RAG

Docker, Python, AWS, LangChain, Qdrant, GenAI LLM applications, CI CD, Azure AI Foundry, LangGraph, MCP implementation, Microsoft Agent Framework, production-grade agent AI framework

Version Control, Natural Language Processing, Neural Networks, Tensorflow, Git, Computer Vision, Gcp, Pytorch, Keras, Azure, Python, AWS, Transformers, data pipelines, scikit-learn, ETL processes, deep learning techniques