Skip to content
View Ijas14's full-sized avatar

Highlights

  • Pro

Block or report Ijas14

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Ijas14/README.md

👋 Hi, I'm Ijas

I am a cross-domain systems architect. I build prototypes and proofs-of-concept that solve hard bottlenecks, and I use AI as an execution engine to build them fast.

I fundamentally reject the industry's default brute-force paradigm of throwing more compute at a problem (mostly because GPUs are too expensive). My philosophy is simple: understand the physical and mathematical constraints first, prototype the solution in days, and let telemetry win the arguments.

I don't build the polished 1.0 product. If you're looking for CSS animations, I'm the wrong guy. I build the foundational architecture that makes the product possible. When I don't have a specific problem to solve, I run on pure curiosity—usually looking for exactly where systems break under pressure.


⚡ The Core (Current Focus)

  • ASH-KV (Work in Progress) Tiered KV cache management for LLM inference. 8-number policy surface, fault-tolerant migration engine, hardware-agnostic codec layer.
  • InferBench A benchmark built specifically to stress-test LLM serving systems under concurrent load. The signature "cliff finder" pinpoints exactly when and why an API will inevitably catch fire in production.

🧪 Curiosity & Explorations

  • Fluidic Equilibrium (Work in Progress) Fighting the quadratic attention bottleneck. A hybrid SSM architecture (Liquid-S4 + CfC + DEQ) implemented completely from scratch just to see how far state space models can really go.
  • CKDG Cyber-physical attack detection running on air-gapped local LLMs. Built on the thesis that statistical anomaly detection is just guessing with extra math, whereas physics provides deterministic constraints.
  • rocm-doctor A zero-dependency diagnostic tool for AMD ROCm installations. Because diagnosing GPU drivers shouldn't require a guessing game and a blood sacrifice.

⚙️ How I operate

  • Contract-First Design: Code without strict boundaries is just technical debt waiting to happen.
  • Trust, but Verify: I don't trust assumptions about hardware, drivers, or model outputs until the telemetry proves it.
  • Rapid Prototyping: I direct the AI to write the boilerplate so I can spend my time designing the architecture and profiling the bottlenecks.

📫 Reach out: ijasdatai12@gmail.com | Always open to talking about hard architectural constraints, designing fault-tolerant systems, or what happens when you push hardware past its limits.

Popular repositories Loading

  1. cyber-kinetic-defense-grid cyber-kinetic-defense-grid Public

    Physics decides. AI explains. A deterministic industrial security monitor that detects impossible machine states and explains cyber-physical attacks locally using AMD Lemonade.

    TypeScript 2

  2. ASH-KV ASH-KV Public

    Adaptive tiered KV cache management for LLM inference. Single-controller, 8-number policy surface, fault-tolerant migration engine. Hardware-agnostic.

    Python 2

  3. fluidic-equilibrium-intelligence fluidic-equilibrium-intelligence Public

    A memory-efficient DEQ-Liquid Hybrid model

    Python

  4. InferBench InferBench Public

    A benchmark for LLM serving systems that finds where they break under concurrent long-context load. Measures the cliff, not the peak.

    Python

  5. Ijas14 Ijas14 Public

  6. rocm-doctor rocm-doctor Public

    A zero-dependency diagnostic tool for AMD ROCm installations. Checks hardware, driver, runtime, and frameworks. Survives broken systems.

    Python