bedrock , AI ML, Lambda, MLops, Python, Api Gateway, AWS, embeddings, Generative AI, Step Functions, RAG architecture, LLMOps, hallucination controls, CI CD, OpenSearch, Comprehend, vector stores, SageMaker, evaluation frameworks, Textract

Tensorflow, Machine Learning, Pytorch, Computer Vision, Python, DevOps practices, video analytics

Tensorflow, Java, Pytorch, Gcp, Azure, Python, AWS, Signal Processing, R, Scikit-learn, industrial sensor data

Javascript, Python, orchestration frameworks, LLM application patterns, model limitations, AI tooling, evaluation approaches, automation platforms

VMware, Ml, Gdpr, Gcp, MLops, Azure, AWS, Generative AI, Cloud-native AI Deployment, AI Agents, FinOps, Ai, CCPA, Vector Search, Containerisation, AI Governance Frameworks, Responsible AI Practices, Model Monitoring, Drift Detection, LLM Fine-tuning, Prompt Engineering, RAG Pipeline Development

VMware, Machine Learning, MLops, Gcp, Azure, AWS, Generative AI, Cloud-native AI Deployment, FinOps Principles, Vector Search, AI Governance Frameworks, Responsible AI Practices, Model Monitoring, Drift Detection, LLM Fine-tuning, Data Privacy Laws, Prompt Engineering, RAG Pipeline Development

Pytorch, MLops, Linux, Docker, Shell scripting, Python, LangChain, scikit-learn, Hugging Face, MLFlow

Data Privacy, PostgreSQL, Cybersecurity, Sql, Nosql, MLops, MongoDB, Ocr, Python, LLMOps, Vector databases, Document AI

Redis, Tensorflow, Pytorch, Gcp, Docker, Opencv, FastAPI, Python, AWS, timm, SAM, Hugging Face Transformers, self-supervised pre-training, torchvision, BLIP, CLIP, contrastive learning, DINOv2, zero-shot adaptation, SigLIP, DETR

Apis, Python, Claude Gemini, RAG Retrieval-Augmented Generation, embeddings, knowledge bases, LLMs, retrieval pipelines, AI-native platforms