Chief Technology Officer @ Kinepara | Systems Researcher Focusing on High-Performance Computing and Kernel Security.

I perceive systems engineering as the rigorous application of advanced data structures to manage complexity and concurrency. My research focuses on designing cache-oblivious algorithms and specialized memory layouts.

• Concurrent Data Structures:

  • Implementing Wait-free and Lock-free synchronization primitives (e.g., Ring Buffers, Skip Lists) using atomic memory ordering.
  • Mitigating ABA problems and optimizing for False Sharing in multi-core environments.

• Spatial & Geometric Indexing (Relevant to Computer Vision/MoCap):

  • Accelerating ray-tracing and collision detection via BVH (Bounding Volume Hierarchies) and KD-Trees.
  • Optimizing spatial hashing for sparse volume data in $\mathbb{R}^3$ space.

• Succinct & Probabilistic Structures (Relevant to Security/Anti-Cheat):

  • Leveraging Bloom Filters and Count-Min Sketches for high-throughput, memory-constrained stream processing.
  • Designing Intrusive Containers to minimize memory fragmentation and pointer chasing.

• Asymptotic Optimization:

  • Reducing amortized time complexity from $\mathcal{O}(n \log n)$ to $\mathcal{O}(n)$ through radix-based approaches and data locality optimizations.

Background in competitive programming with a focus on Graph Theory, Computational Geometry, and Dynamic Programming.

I advocate for code correctness through type systems and formal reasoning rather than extensive runtime checks.

// "Reliability is not an accident."
fn architecture() -> Result<System, Entropy> {
    match design {
        Design::FirstPrinciples => Ok(Scalability),
        Design::AdHoc => Err(TechnicalDebt),
    }
}

Open to deep technical discourse regarding systems programming, security research, and embedded vision.

• PGP / Email: CTO@Kinepara.ai
• GitHub: github.com/MantraChen

“Talk is cheap. Show me the code.” — Linus Torvalds