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馃幆
Focusing
馃幆
Focusing
7 followers · 3 following

Achievements

Achievement: Pair ExtraordinaireAchievement: Pull SharkAchievement: YOLO

Achievements

Achievement: Pair ExtraordinaireAchievement: Pull SharkAchievement: YOLO

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Yatsuiii/README.md

Raghav Sharma

I work on ML systems, graph models, and interpretability.

Current focus: objective monitoring under model modification.

Work

A Protocol for Lineage-Invariant Objective Probing - preprint protocol for testing whether objective-predictive internal probes transfer across modified model descendants without mostly learning lineage shortcuts.

Custody - provenance and revocation for agent memory on Google ADK and Vertex AI Memory Bank, deployed on Cloud Run with Firestore. Found and fixed a real bug in ADK's Memory Bank service, google/adk-python #6946 and #6947.

BrainConnect-ASD - adversarial graph neural network for site-deconfounded ASD classification from ABIDE resting-state fMRI.

Stack

Python 路 PyTorch 路 Rust 路 Go 路 PostgreSQL 路 SQLite 路 Docker 路 AWS 路 Google Cloud Run

Contact

raghavaryen@gmail.com 路 LinkedIn

Pinned Loading

  1. llmtrace llmtrace Public

    Self-hosted LLM proxy with cost ledger and deploy-to-spend causal attribution

    Go 3

  2. spendlint spendlint Public

    Pre-merge LLM cost analysis for CI. Projects the spend delta of a diff before it lands.

    Go 2

  3. Brain-Connectivity-GCN Brain-Connectivity-GCN Public

    Cross-site adversarial GCN for ASD detection from resting-state fMRI.

    Python 1 1

  4. custody custody Public

    Chain of custody for agent memory: origin and derivation provenance over ADK long-term memory.

    Python