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Arman-Rajaei/README.md

Hi, I'm Arman

I'm a Signal Processing & Machine Learning Engineer with a strong background in
biomedical imaging, numerical algorithms, and high-performance data processing.

I build end-to-end technical systems — from raw signals to interpretable, production-ready pipelines.

🔬 Core Expertise

  • Digital signal processing (FFT, wavelets, filtering, denoising)
  • Biomedical signal analysis (SNA, physiological time-series)
  • Spectral-domain OCT reconstruction & 3D volume processing
  • Numerical modeling and optimization
  • Python, MATLAB, C++, CUDA workflows

📡 Signal Processing & Control Systems

🔹 Spectral-Domain OCT 3D Pipeline
       Advanced reconstruction image and signal processing pipeline, including FFT, dispersion compensation, and volume processing

🔹 Digital PLL – I/Q Phase Detector
      Visual and mathematical exploration of digital PLL, NCO, and phase convergence analysis

🔹 Kalman Filter Actuator Simulation
      State estimation, system modeling, and simulation

📊 Data Analysis & Scientific Computing

🔹 Biomedical Signal Clustering
      Pattern extraction, clustering, and feature analysis

🔹 Numerical interpolation & transformation modeling experiments

🤖 AI & Machine Learning

🔹 Reinforcement Learning – Biped Robot Control
🔹 LLM-based Sentiment Analysis
🔹 CNN-based Image Processing Experiments
      Deep learning CNN framework in PyTorch for monocular depth estimation with metric-scale mapping

⚙️ High-Performance & GPU Work

  • CUDA-accelerated signal processing kernels
  • Memory-optimized FFT workflows
  • Large-scale 3D biomedical volume handling

🛠️ Languages & Tools

Core Skills

  • Signal & image processing
  • Fourier and wavelet analysis
  • Numerical algorithms
  • Data analysis & visualization

Tools

  • NumPy, SciPy, PyTorch
  • MATLAB toolboxes
  • Git, Jupyter

📌 Current Focus

  • High-performance signal processing
  • Research-to-production translation
  • Applied ML for biomedical and sensing systems

📫 Connect with me

Pinned Loading

  1. Spectral-Domain-OCT-3D-Pipeline Spectral-Domain-OCT-3D-Pipeline Public

    A full spectral-domain OCT 3D processing pipeline for B-scan and volume reconstruction.

    MATLAB

  2. sar-signal-processing-simulation sar-signal-processing-simulation Public

    Synthetic radar-like signal simulation and denoising using MATLAB

    MATLAB 2

  3. kalman-filter-actuator-simulation kalman-filter-actuator-simulation Public

    Signal Processing Implementation for Sensors and Actuators Using Kalman Filters

    Jupyter Notebook

  4. predictive-modeling-clinical-outcomes predictive-modeling-clinical-outcomes Public

    Multivariate time-series modeling for patient risk prediction and unsupervised physiological state discovery

    Jupyter Notebook

  5. monocular-depth-estimation monocular-depth-estimation Public

    Monocular Depth Estimation using a lightweight CNN and PyTorch

    Jupyter Notebook

  6. OCT-A-Scan-Processing-MATLAB OCT-A-Scan-Processing-MATLAB Public

    MATLAB implementation of a spectral-domain OCT A-scan processing pipeline using synthetic data.