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Living the dream…….💭
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Living the dream…….💭

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Achievement: Pull Shark

Achievements

Achievement: Pull Shark

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shashwatsaxena571/README.md

01 // OPERATOR PROFILE

"I build data pipelines that don't break. Over 5+ years, I've gone from writing basic SQL to architecting enterprise-scale Cloud Data Lakes and deploying RAG pipelines that process millions of records daily."

  • [+] CURRENT_NODE: Data Engineer @ IBM (large banking client)
  • [+] R&D_SECTOR: Ph.D. Scholar (Trustworthy & Explainable AI) @ VIT
  • [+] TELEMETRY: Big Data | PySpark | Databricks | AWS | GenAI
  • [+] DIRECTIVE: Making LLMs transparent, bias-free, and ethically compliant.

02 // TECH MATRIX

03 // ACTIVE BUILDS

Repo What it does
lineage-explanation-tracer Traces a wrong prediction to the corrupt upstream table — attributions × data lineage
explainops Explainability as a pipeline stage — versioned, queryable explanation store
explainable-pipelines Companion repo for the weekly newsletter
samjhao-ai AI PDF reader that explains documents in Hindi/Hinglish, with voice

04 // SYSTEM DIAGNOSTICS

Popular repositories Loading

  1. shashwatsaxena571 shashwatsaxena571 Public

    My GitHub Profile

  2. explainable-pipelines explainable-pipelines Public

    Companion repo for the Explainable Pipelines newsletter - code & patterns where data engineering meets explainable AI

  3. lineage-explanation-tracer lineage-explanation-tracer Public

    Trace a wrong model prediction to the corrupt upstream table - joins feature attributions with data lineage for instant root-cause reports

    Python

  4. explainops explainops Public

    Explainability as a pipeline stage — versioned, partitioned, queryable explanations for production ML (Parquet store + attribution engine)

    Python

  5. youtube youtube Public

    Shell

  6. explanation-drift-monitor explanation-drift-monitor Public

    Detect attribution drift - accuracy stable but the model's reasoning changed. PSI + KS + rank-correlation over feature attributions, label-free (credit-risk ready)

    Python