I'm a passionate developer and researcher with a keen interest in researching and developing state-of-the-art algorithms and deep learning models in Computer Vision, Computer Architecture, Quantitative Research, and Electrical Engineering. 🖥️🔍

• Master’s and Bachelor's Degree in Electronics and ICT Engineering from KU Leuven
• Key interests: Deep Learning, Model Architecture & Explainability, Mathematics, Computer Vision, Digital Signal Processing, Image Signal Processing, Accelerators, Statistics, and all things Signals.

• Meta-PCT Models for Wafer Inspection (Applied Materials, Taiwan)
  Developed generalizability-focused tabular/patches Meta-PCT models for multi-stage domain feature engineering and optical wafer inspection anomaly detection at the 2nm node.
  Architected a full EDA-based pipeline (filtering, denoising, feature engineering, segmentation, detection, classification) optimized for sensitivity–throughput trade-offs.
  Achieved major performance gains: F1 score 0.297 → 0.78, Precision 0.174 → 0.74, Recall 0.8 → 1.0.
  Collaborated with applications, systems, and software teams to integrate algorithms into large-scale production systems.

• Interferometric ISAR for Person Identification (IMEC)
  Designed a novel Interferometric Inverse Synthetic Aperture Radar (ISAR) 3D imaging algorithm for non-cooperative target reconstruction across FMCW MIMO radar setups.
  Implemented 2D-FFT, image autofocusing, radial motion compensation, interferometry for 3D angular refinement, and JPDA EKF for multi-target tracking.
  Fused multi-channel 2D ISAR images into Doppler-aligned high-quality 3D point clouds as input to a PointNet++-based Few-shot Transformer, achieving:

  • ×ばつ improvement in height measurement performance vs. existing methods
  • 95%+ accuracy in person identification
    Optimized computation via PyTorch data parallelism, CUDA kernels, vectorization, multiprocessing, and multithreading.

• Lane Detection LiDAR: Processed LiDAR point cloud data without machine learning to detect and mark the ego lane. Used mathematical/statistical preprocessing, cubic polynomial regression with RANSAC-based inlier/outlier classification.

• Adaptive Notch Filter: Implemented in C and Assembly on the C5515 platform as part of R&D coursework at KU Leuven.

• Adventure_Quest_C++: Designed a C++ pixel-art style game emphasizing extendability via polymorphism and MVC pattern. Switchable graphics/text representation. 🎮 (Nov 2023 – Dec 2023)

• Pet Facial Expression Recognition: Classified pet emotions with Transfer Learning (EfficientNet) to enhance human-pet interaction. 🐾🤖 (Oct 2023 – Dec 2023)

• Spatial Room Impulse Response for Dynamic Auralization: Built dynamic SRIR datasets and continuous binaural auralizations for VR spatial sound. 🎧 (Oct 2023 – Dec 2023)

• Baby Monitoring System: Cry detection and environmental monitoring to prevent Sudden Infant Death Syndrome, using spectral and temporal domain features. 👶🔊

• Large Integer Arithmetic Hardware Accelerator: Optimized a multi-precision hybrid adder for efficient 512-bit arithmetic operations. 🧮🚀

• Languages: Verilog, Python, C, C++, Java, Assembler, SQL
• Technologies: PyTorch, TensorFlow, FPGA
• Tools: (many... too many 😅)

• Algorithm Developer, Senior Level II | Applied Materials, Taiwan (Oct 2024 – Mar 2025)

  • Led development of Meta-PCT models and full wafer inspection pipelines for 2nm node optical anomaly detection.
  • Balanced sensitivity vs. throughput trade-offs for large-scale production systems.
  • Delivered significant accuracy improvements (F1, Precision, Recall).

• Master Thesis Researcher | IMEC, Belgium (Oct 2023 – Jun 2024)

  • Researched novel Interferometric ISAR algorithms for non-cooperative 3D radar imaging and person identification.
  • Integrated advanced radar signal processing (FFT, motion compensation, interferometry) with Few-shot Transformer learning.
  • Optimized computation with CUDA, multiprocessing, and PyTorch parallelism.

• Team Projects & Leadership

  • Contributed to multiple academic and collaborative projects, enhancing both technical depth and teamwork/leadership skills.

• Contributor to open-source projects in computer vision.
• Active in technical communities, always open to collaboration on innovative ideas. 🤝

• I love animals 🐈🐕🦭🦁🐅🐘🦝🐁🐿️🦊🐄🐎🦄.
  Most of my projects are inspired by making their lives better. 💖

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Feel free to reach out if you want to talk about technology, research, or just want to say hi! 📫😊

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