Дима

DMYTRO FEDOROV SUMMARY

INTERN/JUNIOR ML/DATA I'm an enthusiastic ML/Data Science/DevOps engineer eager to learn
SCIENCE/DEVOPS ENGINEER and gain practical experience in information technology. My goals are to
acquire new skills and knowledge for professional development. I have a
basic understanding of programming and infrastructure, with
theoretical understanding and some practical experience in Docker,
Ansible, Terraform, and Git. Additionally, I have experience in Linux
administration, Bash scripting, database administration, and CI/CD
using AWS.

I have basic knowledge of artificial intelligence development, especially
consider YOLO architectures, RNNs, BERT, Seq2Seq Models, Faster R-
PROFESSIONAL SKILLS CNN. In terms of segmentation, worked with offensive solutions: k-
means, DBSCAN, agglomerative clustering. For clustering - random
- Highly motivated specialist. forest, support vector method, logistic regression algorithms. In terms of
- I speak English at B1 level. regression - line regression, decision tree, neural networks.
- I am able to work in a team

SKILLS

PROGRAMMING LANGUAGES: PYTHON, GO, SQL, C++, BASH, SHELL, R
INFRASTRUCTURE TOOLS: TERRAFORM, PUPPET, ANSIBLE, DOCKER,
CONTACTS KUBERNETES, GIT, GITLAB CI/CD, GITHUB CI/CD BUILD AND AUTOMATION
SYSTEMS: TEAMCITY JENKINS
OPERATING SYSTEMS:
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LINUX CLOUD SERVICES: AWS
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OTHER TOOLS AND TECHNOLOGIES: GRAFANA HTTP/HTTPS TCP/IP CURL
CHERKASY, UKRAINE DOCKER-COMPOSE DNS IPTABLES NGINX
GITHUB.COM/DMITRIY282/ LANGUAGES: ENGLISH (B1)
[открыть контакты](см. выше в блоке «контактная информация») FRAMEWORKS: MATPLOTLIB, NUMPY, PANDAS, KERAS, PYTORCH, SCIKIT-
LEARN, TENSORFLOW.

EXPERIENCE/PROJECTS

REAL-TIME INFRASTRUCTURE MONITORING AND AUTO-SCALING
SYSTEM
CREATE AND MAINTAIN FULLY AUTOMATED CI/CD PIPELINES FOR
CODE DEPLOYMENT USING OCTOPUS DEPLOY, POWERSHELL,
JENKINS, DOCKER
TROUBLESHOOT NETWORK ENVIRONMENTS, SERVERS, WEB
APPLICATION, MOBILE APPLICATION AND REPORTED SYSTEM ISSUES
BUILDING AND CONFIGURING CI/CD PROCESSES, PREPARING
DOCUMENTATION, DEVELOPING A PIPELINE, INTEGRATING INTO
EXISTING PROCESSES
ANALYZING AND PREDICTING WEATHER BASED ON DATA FROM
VARIOUS WEATHER STATIONS.
TRAINING STABLE DIFFUSIONS MODELS .

EDUCATION

Cherkasy Educational and Research Department of Ivan
Franko National University of Lviv.
Software engineering, 2018-2022

CERTIFICATIONS

Sequence Models, Structuring Machine Learning Projects, Improving Deep
Neural Networks: Hyperparameter Tuning, Regularization and Optimization.
Neural Networks and Deep Learning, Convolutional Neural Networks, Epam
DevOps Winter 2022, Hackerrank Python Basics 2022

HOBBIES
I compete at the candidate master level in chess and checkers, and I've taken
part in various computer science and math competitions