Nikita Davydov

I am a machine learning engineer with hands-on experience in ML model development, performance engineering, and embedded systems. I have implemented RNN models for protein restructuring using PyTorch and TensorFlow, researched CNN/GNN/generative approaches for chemical discovery, and performed data engineering to optimize model training.

Previously I worked as a Performance Engineer building automated load, stress, and volume testing pipelines with JMeter, Jenkins and Grafana, and developed a Dockerized observability stack (Grafana, Kibana, InfluxDB) to accelerate test-data analysis. I also developed frontend and backend features with Vue.js and Python and refactored testing frameworks to improve test coverage and reliability.

I hold a BSc in Computer Science (AI) and am completing an MSc in Robotics & Autonomous Systems. I enjoy embedded object detection for FPV drones, UE5 game development, and practical ML projects, and I bring a pragmatic, cross-disciplinary approach to solving complex problems.