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pushkersahai/README.md

Pushker Sahai — Principal Solutions Engineer / Architect (ex-Google, ex-Microsoft)

I help enterprises adopt modern Data + AI platforms (Snowflake/Databricks) by combining customer-facing architecture with hands-on builds: DataOps + FinOps automation, MLOps pipelines, and production RAG systems.

Spotlight

Featured Builds

What you’ll see in my repos

  • Architecture-first design (RBAC, secrets, auditability)
  • “Skim proof” docs: quickstart, demos, diagrams, sample outputs
  • Outcome focus: reliability, cost optimization, and time-to-value

Contact

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  1. snowflake-sentinel snowflake-sentinel Public

    Multi-agent system for automated detection and analysis of failed Snowflake tasks using LLMs

    Python

  2. alberta-energy-rag alberta-energy-rag Public

    AI-powered RAG system for Alberta energy regulations using Azure Databricks and Azure OpenAI

    Jupyter Notebook

  3. churn-mlops-pipeline churn-mlops-pipeline Public

    Production MLOps pipeline: Customer churn prediction with Azure Databricks, MLflow, Docker, AKS, and CI/CD. Demonstrates end-to-end ML deployment for enterprise engineering.

    Python 1

  4. macro-regime-agent macro-regime-agent Public

    Monthly Macro Regime Decision Agent using dbt + Snowflake

    Python

  5. dataops-mcp-agent dataops-mcp-agent Public

    Enterprise AI agent demonstrating MCP integration with Snowflake for autonomous data analysis

    Python

  6. earnings-rag-system earnings-rag-system Public

    RAG system for earnings call Q&A using Snowflake Cortex AI (embeddings, vector search, LLM)

    Python