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Achievement: Pull SharkAchievement: Pair Extraordinaire

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priyank766/README.md 

┌───────────────────────────────────────────────────────────────────────────────────────┐
│                                                                                       │
│  ▸ ROLE       ML Engineer & Agent Builder                                             │
│  ▸ BASE       Ahmedabad, India                                                        │
│  ▸ FOCUS      AI agents that take action, not just generate text                      │
│  ▸ PROJECTS                                                                           │
│    ├── BioAgent-ALPHAFOLD  ░  protein structures & molecular docking                  │
│    ├── CADai               ░  3d Action-Driven AI Agent for CAD                       │
│    └── RLM                 ░  recursive long-context reasoning vs vanilla LLMs        │
│                                                                                       │
└───────────────────────────────────────────────────────────────────────────────────────┘

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  1. BioAgent-ALPHAFOLD BioAgent-ALPHAFOLD Public

    AI-powered platform where researchers interact with a conversational agent that autonomously retrieves protein structures, detects binding pockets, runs molecular docking, profiles interactions, an…

    TypeScript 4

  2. anchor anchor Public

    Cross-agent memory for AI coding agents. Local-first.

    TypeScript 1

  3. Hermes-BIO Hermes-BIO Public

    An agentic harness for drug-discovery research disease name → ranked candidates · underexplored targets · cross-indication leads

    Python

  4. RLM RLM Public

    A local, reproducible comparison framework that puts Recursive Language Models (RLMs) head-to-head against standard LLM inference on long-context tasks — using the exact same model for both. Includ…

    Python 1