Java, Node.js, Typescript, Python, CrewAI, embedding lifecycle, re-indexing, Go, Ingestion and chunking design, Semantic Kernel, LangGraph, AutoGen, OpenAI Agents SDK, Claude Agent SDK, Pydantic AI, RAG evaluation, reranking, hybrid graph retrieval

Machine Learning, Hadoop, Artificial Intelligence, Sql, Nlp, Azure Cloud, Data Warehousing, Aws Cloud, Api, Python, Etl, Generative AI, Multi-Agent Architectures, Retrieval-Augmented Generation, Azure AI Services, Database Design Optimization, Microservices Architecture, Cloudera Ecosystem, Software Engineering Best Practices, Prompt Engineering, ELT Technologies

composer , BigQuery, Metadata Management, Dimensional Modeling, Automated Testing, Sql, Cloud Storage, Cloud Architecture, Python, Airflow, knowledge graphs, LLM integration, distributed processing, retrieval-augmented generation, Dataform, semantic models, CI CD, Google Cloud services, production support practices, AI-enabled applications, data quality monitoring

privacy compliance , Data Governance, Sql, Python, Cloud data platforms, AI ML capabilities, Marketing data ecosystems, CRMs, AI-powered coding, Advertising platforms, GenAI applications, Security programs, GA4, CDPs, AI-enabled workflows

object detection , C++, ROS, Python, ROS 2, visual-inertial odometry, instance segmentation, Tracking, visual SLAM, 3D scene-understanding, depth estimation, sensor fusion, visual odometry, deep-learning approaches

MLops, Pyspark, Spark, Databricks, Delta Lake, cloud-native architectures

data engineering , Google Cloud Platform, Digital Transformation, Cloud Migration, Data Quality, Data Warehousing, Microsoft Azure, Databricks, Data Governance, AWS, Etl, Data Lakes, Data Pipelines, Analytics, Advanced Analytics Platforms, Business Intelligence Reporting, ELT Frameworks

Sql, Python, Apache Spark, Aws Redshift, Hadoop, Scala, Pyspark, Airflow, AWS EMR

snowflake , Cloud, Databricks, Generative AI, Client pitches, Technology-led sales pursuits, LLM governance frameworks, Data platform modernization, GraphRAG, Agentic AI, AI data governance, Enterprise AI architecture patterns, RAG, Knowledge graphs, MCP-based integrations, AI governance, AI ML Data platforms, Trusted AI adoption, Proposal development