Open to opportunities

Nikita Davydov

@nikitadavydov

Message

Machine learning engineer focused on performance testing and embedded systems.

Japan

Message

What I'm looking for

I seek roles where I can build ML models and production testing pipelines, work with embedded systems, and contribute to cross-functional teams that value pragmatic engineering and measurable impact.

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.

Experience

Work history, roles, and key accomplishments

MITACS Intern

University of Ottawa

Jan 2023 - Jan 2024 (1 year)

Implemented RNN models in PyTorch and TensorFlow to predict protein restructuring in response to drugs and performed data engineering to optimize model training; researched CNN, GNN and generative RNN use cases for compound discovery.

PyTorch TensorFlow RNN Data Engineering CNN GNN Python Machine Learning Drug Discovery

Frontend Developer

ValueWorks GmbH

May 2022 - Jun 2022 (1 month)

Developed frontend and backend features with Vue.js and Python, refactored unit tests to a Mocha-based system enabling asynchronous testing and improved test metrics, and managed issue tracking to raise bug resolution rates.

Vue.Js Python Mocha Frontend Development Backend Development Unit Testing Jira Issue Tracking

Performance Engineer

NIX Solutions

Jul 2021 - Apr 2022 (9 months)

Implemented automated load, stress and volume testing with JMeter and Jenkins, integrated Grafana/Kibana/InfluxDB for metrics, and coordinated cross-team SCRUM efforts to improve performance testing coverage and analysis speed.

JMeter Jenkins Grafana InfluxDB Performance Testing Docker Test Automation Scrum

Education

Degrees, certifications, and relevant coursework

National University of Radioelectronics (NURE)

Master of Science, Robotics & Autonomous Systems

2023 -

Pursuing a Master of Science in Robotics & Autonomous Systems with coursework and projects focused on robotics, autonomy, and machine learning.

National University of Radioelectronics (NURE)

Bachelor of Science, Computer Science (Artificial Intelligence)

2019 - 2023

Completed a Bachelor of Science in Computer Science with a focus on Artificial Intelligence, including coursework and projects in machine learning and embedded systems.