Dmytro Sudakov

Hi. I am a Python BackEnd & AI Developer passionate about building scalable, intelligent systems that connect robust backend engineering with modern machine learning.

My core expertise includes Django, DRF, Celery, Redis, PostgreSQL, Docker, and GCP (and AWS little bit), with proven experience designing and deploying high-performance web platforms, APIs, and automation tools. I’ve developed e-commerce solutions, Telegram bots, and production-ready backend infrastructures with a focus on reliability, clean architecture, and performance.

Beyond backend development, I am deeply engaged in AI/ML research and engineering — working with TensorFlow/Keras, PyTorch, and Scikit-learn. I’ve explored sequence-to-sequence models (LSTM, CNN), custom optimizers (e.g., FractalMomentAdam combining Adam with fractal mechanisms).

My recent work focuses on bridging theoretical research and real-world applications, creating explainable and efficient models tailored for medical datasets and optimization under uncertainty. I’m passionate about experimenting with novel training dynamics, nonlinear systems, and meta-optimization strategies.

Let’s connect — I’m always open to collaborating on forward-thinking projects in backend systems, applied AI, and experimental optimization research.