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chillin
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3 followers · 8 following
  • New York University
  • New York

Achievements

Achievement: Pull Shark

Achievements

Achievement: Pull Shark

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Achyuthan-S/README.md

Achyuthan Sivasankar

I work on one problem: how sparse neural systems learn to route computation — and when routing actually helps.

Currently a research assistant in Prof. Anna Choromanska's lab at NYU, working on self-supervised world models for autonomous driving with LiDAR.

What I'm building

  • AD-LiST-JEPA — spatiotemporal JEPA world model for autonomous driving; predicts future BEV LiDAR embeddings without labels or contrastive pairs
  • KAN-Multi — routing layer that selects among 6 function bases with zero supervision; +6.8% over MLP on CIFAR-100
  • MoE-Bench — open diagnostic toolkit for expert collapse & routing entropy in sparse MoE LLMs (OLMoE, JetMoE, Qwen)

What I care about Self-supervised learning · Sparse MoE architectures · Neural routing · World models · LiDAR perception

Stack Python · PyTorch · C/C++ · Go · HuggingFace · Docker · FastAPI · AWS

📫 achyuthan.sivasankar@gmail.com · LinkedIn · Portfolio

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  1. rag-acga-knowledge-base-memory-system rag-acga-knowledge-base-memory-system Public

    Production-ready RAG with adaptive memory system, hybrid retrieval, and graph augmentation. Plug-and-play components for any RAG project.

    Python 2

  2. moe-bench moe-bench Public

    Open benchmark for expert collapse and routing efficiency in sparse MoE LLMs

    Python 1