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etekmen13/README.md

Emre Tekmen

I like optimization of low-latency systems, numerical methods, and predictive modeling.
Junior Undergraduate, CS & Math @ UNCG.

Core Engineering

My primary focus is the intersection of hardware constraints and mathematical abstraction.

  • Net-Latency-Lab (Honors Contract):
    • C++23, AF_XDP.
    • Benchmarking user-space networking against standard BSD sockets on ARM.
    • Custom lock-free SPSC queues (std::atomic acquire/release) to decouple I/O from logging; CPU isolation/pinning.
  • Algorithmic Optimization:

Research & Mathematics

  • Continual Learning (AI):
    • Publication: "GEM-Style Constraints for PEFT with Dual Gradient Projection in LoRA" (Accepted IEEE ICDM 2025 / NSF REU) (Publishing in progress, link provided upon release).
    • Implemented dual projected gradient descent on constrained Quadratic Programs, reducing projection time by ~10⁴x.
  • Mathematics:
    • I like Group Theory and Analysis.
    • Currently developing a Rubik's Cube solver derived from first principles.
    • 2025 Putnam Competition Participant (score pending).

Theoretical Interests & Modeling

I am interested in predictive modeling applied to complex systems, ranging from financial markets to civilizations.

  • Cliodynamics: Statistical modeling of historical dynamics and governance stability.
  • Macro-Prediction: Utilizing economic theory and geopolitical data to model state trajectory and market hedges.
  • Aspirations: Quant Research, Systems Engineering, AGI/Robotics, or macro-scale economic simulation.

Life

  • Music: Former National Jazz Musician (NYO Jazz, Essentially Ellington Outstanding Soloist). Featured on Spotify
  • Culinary: I love to cook. Turkish, Japanese, and Indian cuisine. Learning Spanish. Attempting Veganism.
  • Philosophy: Economic theory and governance models, metaphysics (I am a firm atheist/determinist), anthropology/sociology/psychology, I want to understand humans and their relationship to the Universe.

LinkedIn | Email

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  1. net-latency-lab net-latency-lab Public

    High-precision network benchmarking tool using C++23, lock-free queues, and hardware timestamping to measure microsecond-scale tail latency.

    Python

  2. pgem pgem Public

    Official repository for Projected Gradient Episodic Memory, a continual learning technique based on Meta's original GEM paper

    Python

  3. numpy-rl-engine numpy-rl-engine Public

    A modular Deep Reinforcement Learning framework built entirely from scratch using only NumPy. Implements Backpropagation, Adam Optimizer, and DQN.

    Python

  4. uncg-cpc-f25 uncg-cpc-f25 Public

    Fall 2025 UNCG Competitive Programming Club Lecture Notes

    C++