Research Engineer
Research Engineer working across scientific computing, applied machine learning, signal processing, and complex systems.
I turn open technical questions into tested research software, controlled experiments, and clear technical results.
2026
Eleven linked documents on tropical-Pacific sea-surface-temperature forecasting using invertible wavelet representations, Earthformer models, and probabilistic calibration.
Climate Forecasting / Wavelets / Diffusion Models
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Research software · Pre-release
Native implementations of two time-series foundation-model families, including forward and backward kernels, checkpoint loading, and fine-tuning without a tensor-framework runtime.
Pre-release; source not public. Small-variant forward checks demonstrated; broader fidelity and performance tests remain open.
C++20 / CUDA / Numerical Verification
Read software record at Deep Wave2026
Three linked studies of BTCUSDT probabilistic forecasting, comparing purpose-built models with frozen and adapted foundation models under walk-forward evaluation.
Probabilistic Forecasting / Foundation Models / PyTorch
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June 2026
A published SAR tomography method rebuilt in CUDA and tested against synthetic ground truth and null controls.
SAR Tomography / C++ / CUDA / Research
Read research report2020 – 2026
Six standalone studies of sentiment, market microstructure, spectral structure, risk signals, and empirical replication.
Alternative Data / Market Microstructure / Risk Signals
Browse research collectionArchitectural, spatial, and object studies made with generative-image tools.
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