Dmitry Norkin Email & Phone Number

Belgrade, RS

Remote

• Utilized reinforcement learning, evolutionary strategies, deep learning, and classical ML to develop an automated quantitative trading system based on time series analysis
• Wrote the whole pipeline from data downloading and preprocessing to inference and analyzing the outputs
• Achieved huge improvements in quality of the predictions on the backtest
• Mentored junior engineers
• Conducted ML interviews for middle and senior level positions

Москва, Россия

• Created several algorithms for estimating the precision of quantum tomography
• Published several scientific papers based on conducted work in Q1 journals
• Wrote a framework for quantum computations and tomography from scratch on Python

Remote

• Completely rewrote the deep learning computer vision pipeline and cloud job submission infrastructure
• Designed custom neural network architectures for specific problems
• Achieved large improvements in classification performance and embedding quality
• Applied techniques such as self-supervised representation learning, adversarial learning, recalibration, and aleatoric and epistemic uncertainty

Москва, Россия

• The goal of the project was to analyze public information (subscriptions and likes) of people's profiles on social networks to predict their preferences in different topics.
• Developed algorithms of data extraction from social networks
• Used neural networks and classical ML methods to predict users' preferences from the extracted data

Master Of Science - Ms, Applied Mathematics And Physics, 5.00/5

Data Science, 4.73/5

Master's level program in Computer Science and Machine Learning Relevant courses: • Python • Algorithms and Data Structures • C++ •.

Bachelor Of Science - Bs, Applied Mathematics And Physics, 8.77/10

Relevant courses: • Calculus • Linear Algebra • Computer Science • Probability Theory • Applied Statistics • Numerical Analysis • Quantum.