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dag-scheduling

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This project implements a full-stack data engineering solution that connects to the Spotify Web API to extract a user’s recently played tracks, stores the data in a PostgreSQL database, applies transformations using dbt, and delivers actionable insights via Metabase dashboards.

  • Updated May 28, 2026
  • Python

🥈 2nd place (Agent-only) MLSys 2026 Track B — Multi-Agent LLM Pipeline for Memory-Constrained Tensor DAG Scheduling. Neurosymbolic split: LLM for combinatorial structure (op fusion), deterministic solver for constraints ([w,h,k], dependency, latency). 7.77× aggregate speedup, 88× best case.

  • Updated May 23, 2026
  • Python

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