I'm a Biomedical Signal and Imaging Engineer working at the intersection of signal processing, computational imaging, and scientific computing.
My work focuses on transforming complex biomedical signals and imaging data into reliable computational pipelines for image reconstruction, quantitative analysis, and system prototyping. I build and deploy end-to-end processing systems that convert raw measurements into interpretable and robust outputs for research and real-world applications.
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Spectral-Domain OCT 3D Pipeline
Advanced reconstruction image and signal processing pipeline, including FFT, dispersion compensation, and volume processing
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Digital PLL – I/Q Phase Detector
Visual and mathematical exploration of digital PLL, NCO, and phase convergence analysis
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Kalman Filter Actuator Simulation
State estimation, system modeling, and simulation
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Vehicle Market Value Intelligence
Data-driven pricing engine for used car inventory using regression analysis, OLS diagnostics, and feature engineering
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Customer Behavior Prediction Engine
Deep learning classification pipeline predicting customer return probability from 2 years of behavioural and engagement data
🔹 Biomedical Signal Clustering
Pattern extraction, clustering, and feature analysis
🔹 Reinforcement Learning – Biped Robot Control
🔹 LLM-based Sentiment Analysis
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CNN-based Image Processing Experiments
Deep learning CNN framework in PyTorch for monocular depth estimation with metric-scale mapping.
- CUDA-accelerated signal processing kernels
- Memory-optimized FFT workflows
- Large-scale 3D biomedical volume handling
- High-performance signal processing
- Research-to-production translation
- Applied ML for biomedical and sensing systems
- 💼 LinkedIn: https://www.linkedin.com/in/arman-rajaei/
- 📧 Email: arman.rajaei1992@gmail.com
