Large Language Models (LLMs), Tensorflow, Numpy, Pandas, Pytorch, Python, Generative AI, Prompt engineering, Scikit-learn, Model training and evaluation, Machine learning concepts, OpenAI APIs

tokenization , Java, Natural Language Processing, Neural Networks, Tensorflow, Nltk, Git, Pytorch, Gcp, Azure, Pattern Recognition, Python, AWS, Algorithms, C++, Data structures, Data Cleaning, scikit-learn, Hugging Face, spaCy, Embeddings, Feature engineering

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

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

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

Git, Typescript, MySQL, PostgreSQL, Node.js, Rest Apis, Python, AWS, OCR vision models, semantic search, Asynchronous processing, Embeddings, Retrieval-augmented generation, information extraction, Document Processing, Model-output validation

Machine Learning, Tensorflow, Pytorch, Gcp, Docker, FastAPI, Azure, Python, Kubernetes, AWS, Generative AI, Feature Engineering, Model deployment, Document Extraction, Scikit-learn, Context Engineering, Vector Databases, Agentic AI workflows, Streamlit, Prompt Engineering

continuous monitoring , Container orchestration (Docker, Kubernetes), Cloud platforms (AWS, Azure), Tensorflow, Jax, Pytorch, MLops, Python, Computer Vision, Deep Learning, Nlp, Machine Learning, Gcp, Generative AI, Transformer-based architectures, Probabilistic modeling, Data Processing, Model versioning, Uncertainty quantification, Generative models, GPU acceleration, ML pipelines, CI/CD, Distributed training