valeman is a Machine Learning Engineer based in London with nine years of experience focused on probabilistic prediction, time-series forecasting, and systematic trading. He blends research-minded modeling—particularly conformal prediction techniques—with practical forecasting solutions that drive decision-making under uncertainty. Known for creating the "Awesome Conformal Prediction" resource, he contributes to the ML community’s understanding of calibration and reliable predictive intervals. His profile reflects a strong niche in financial and sequential data applications, pairing statistical rigor with production-aware engineering.
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
Contributions:1 release, 14 reviews, 476 commits in 1 year 1 month
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valeman - Machine Learning Engineer at Big Business