Plm, Gcp, MLops, Iso 27001, Python, Computer Vision, AWS, NVIDIA, Applied ML, CAD, SOC 2, Multi-agent Pipelines, Llm, Digital Twins, Agent Systems, Inference and Infrastructure, AI Engineering, Generative Content Pipelines

.NET, SQL Server, Nosql, RDBMS, Azure Functions, Hl7, Microsoft Azure, MongoDB, Restful Apis, Azure Machine Learning, Dicom, Oracle, AI Architecture Design, GenAI, FHIR, Azure OpenAI, Llm, Azure Service Bus, Astm, RAG, Azure Cosmos

Context engineering, NIST AI RMF, Platform selection, Model governance, Evaluation methodology, AI discovery workshops, Auditability, Total cost of ownership, PII handling, Agent frameworks, ISO 42001, Data residency, Agentic solutions, RAG architectures

data engineering , BigQuery, Cloud Technologies, ELT, Cloud Storage, Gcp, DataFlow, Solution Architecture, Etl, GenAI, Ai, Pub Sub, Cloud Composer, Vertex AI, Data pipelines

Distributed Systems, AI-powered development tools, vector search, AI architecture patterns, privacy and security controls, data platforms, prompt and tool orchestration, evaluation approaches, retrieval systems, agentic workflows, responsible AI, Security, AI gateways, APIs integration, model risk, cloud AI platforms, production AI operations, LLM-based applications, AI governance, cloud-native solutions, observability, AI solutions

data engineering , data warehouses , snowflake , Databricks, Big Data Technologies, Data Analytics, MLops, BigQuery, Data Governance, Redshift, LLMs, Synapse, Data Lakes, AI Agents, RAG architectures, ETL ELT pipelines, Generative AI, AI ML solutions

Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Tensorflow, Pytorch, GPU cluster architecture, Model deployment and optimization, Hugging Face Transformers

Agile Methodologies, Kafka, MLops, Jboss, Helm, Gcp, REST, PostgreSQL, Databases, Websphere, Github, Application Server, AWS, Cloud Services, Oracle, Azure, Graphql, Docker, Spark, machine learning frameworks, AI-driven solutions, AI ML frameworks, big data technology, cloud platforms, CI CD, deployment tools, GitHub Actions, data pipelines, API integration technologies

RAG (Retrieval-Augmented Generation), Large Language Models (LLMs), Machine Learning, Data Enrichment, Summarization, Model Integration, Entity Extraction, Feature Engineering, Agent Orchestration Platforms, Context-aware Retrieval Systems, Transformer-based models, Topic Modeling, Vector Databases