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Hi there, I'm Chayan Aggarwal 👋

I'm a software engineer and BS-MS Mathematics and Computing student at IIT Roorkee. My focus spans across four main pillars: Low-Level Systems, AI/Deep Learning, Quantitative Trading, and Web3/Decentralized Systems.

🚀 What I'm working on

  • Yul Compiler: Developing a custom compiler for Yul to deepen my understanding of EVM internals and low-level smart contract optimization.
  • Agentic LIFE Workflow: Building LifeOS a agentic system which handles each and every workflow upto your demand - (catch? sike ! there is no catch) Life OS is designed in a way that it will itself manage any and every connection to external apps/media design any type of automated workflow you want (deterministic or AI driven) and provides api endpoints and visualisation to manage it all - Everything is driven by a large agentic setup and loop with a very powerful memory system inspired from recent advances and research in agentic memory systems
  • llmdb - uses larql a open source library which treats llm weights as a database that can be queried - llmdb is a wrapper over larql which uses larql to make a debugger over llm weights and ROP style tool so we can analyze llm weights for allignment without actually running the model
  • MirrorScope - A cross-platform, eBPF-assisted time-travel debugger for C, Rust, and Go - with first-class async-Rust and goroutine semantics - exposed over the Debug Adapter Protocol (DAP).

⚡ Technical Arsenal

Low-Level & Systems Architecture: C C++ Rust Zig x86 Assembly ARM64 LLVM

AI, Deep Learning & Math: PyTorch NumPy

Web3 & Decentralized: Solidity Foundry IPFS

Languages, Frameworks & Infrastructure: Go Odin Java NodeJS Express.js React Nix Home Manager Python


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