Богдан

Bogdan K.
Full Stack Developer

Summary of Full-Stack Developer with 4.5 years of experience building web applications from front-end to
Qualifications back-end. Skilled in React, Redux, TypeScript, Python, Django, DRF, and FastAPI, with
experience in relational and NoSQL databases. Experienced in creating responsive UIs,
developing REST/GraphQL APIs, and deploying applications using Docker, Kubernetes, and
AWS. Strong in writing clean, maintainable code, performing code reviews, and delivering
scalable, well-tested solutions. Quick learner, collaborative, and focused on creating
applications that meet both business and user needs.

Skills Programming Languages/Technologies Frameworks/Libraries
▪ Software Architecture Design/UML/Reverse ▪ Django
Engineering/Design Patterns ▪ Django Rest Framework (DRF)
▪ Technical Documentation/Architecture ▪ Django Haystack
Reports/Proposals/SRS ▪ Graphene Django
▪ JavaScript/TypeScript ▪ DRF Spectacular
▪ XML/JSON/YAML ▪ Django Grappelli
▪ Python ▪ Django Ninja
▪ HTML/CSS/LESS/Sass ▪ FastAPI
▪ SQL ▪ React
▪ GraphQL ▪ Axios
RDBMS ▪ Redux
▪ Numpy/Pandas
▪ MS SQL Server ▪ Alembic
▪ MySQL ▪ SQLAlchemy
▪ PostgreSQL ▪ bs4
▪ SQLite ▪ boto3
NoSQL ▪ AIOHTTP
▪ Elasticsearch ▪ Celery
▪ Redis Application/Web Servers
DevOps / Infrastructure ▪ WebSockets
▪ Docker Cloud Providers
▪ Docker Compose ▪ AWS
▪ Kubernetes ▪ Heroku
▪ Helm ▪ Ngrok
▪ Nginx
Development Tools
Methodologies
▪ PyCharm
▪ Agile, Scrum, Kanban ▪ WebStorm
▪ Pair Programming
▪ Test Driven, Feature Driven, Behavior Driven Testing Tools/Libraries
Development ▪ Postman
▪ Waterfall ▪ PyTest
Operating Systems ▪ nittest, Mock

▪ Microsoft Windows Version Control
▪ Debian / Ubuntu / Linux Mint ▪ Git
CI/CD ▪ GitHub
▪ GitLab
▪ GitHub CI/CD ▪ BitBucket
▪ GitHub Actions

Bogdan K.
Full Stack Developer
Experience
Clinical Trial Management & Patient Treatment Allocation System
Project Description: Development of a CRM-based platform for managing patients participating in clinical trials and
automating treatment allocation. The system manages patient records, trial enrollment, and
determines treatment assignment according to clinical trial protocols. Based on predefined
rules and randomization algorithms, the platform assigns patients either to a placebo group
or to an active medication group while maintaining compliance with trial requirements and
ensuring traceability of all decisions and patient data.
Domains: Healthcare | Clinical Trials | CRM
Involvement Duration: 1 year, 3 months (November 2024 - March 2026) - Meduzzen
Project Role: Python Full Stack Developer
Responsibilities: ▪ Developed back-end service for patient management, clinical trial enrollment, and
treatment allocation logic (placebo vs medication) based on trial protocols;
▪ Built RESTful APIs for communication between the front-end application and back-
end services;
▪ Implemented front-end interfaces for managing patients, clinical trials, and treatment
assignments;
▪ Developed responsive UI components, forms, and dashboards for CRM workflows;
▪ Integrated front-end with back-end APIs and handled client-side data validation and
state management;
▪ Designed and optimized database structures for patient data, trial configurations, and
treatment results;
▪ Implemented role-based access control to protect sensitive medical data;
▪ Wrote unit tests and participated in code reviews to maintain code quality.
Project Team Size: 9-12 team members
Tools & Technologies: Python, JavaScript, TypeScript, React, Redux, Axios, Django, Django REST Framework (DRF),
MySQL, boto3, Docker, Docker Compose, Kubernetes, Helm, Nginx, Prometheus, Grafana,
AWS, GitHub CI/CD.

AI-Powered Service for Automated Medical Form Completion
Project Description: Development of an AI service for automatic completion of medical documents prior to a
doctor’s appointment. The system processes two types of documents: the patient's medical
record and a standard pre-visit intake form. Using advanced natural language processing (NLP)
models, the service analyzes the questions in the form and retrieves relevant answers from
the medical record.
Domains: Healthcare | AI & ML
Involvement Duration: 1 year, 8 months (February 2023 - November 2024) - Meduzzen
Project Role: Python Back-End Developer | DevOps Engineer
Responsibilities: ▪ Developed back-end functionality;
▪ Integrated AI service into a microservice architecture;
▪ Implemented document management features, including uploading, parsing, editing,
and exporting various file types (e.g., .docx, .pdf) to support flexible workflows;
▪ Designed and optimized AI prompts for NLP models to extract structured answers
from unstructured medical records;
▪ Actively applied design patterns (Factory, Strategy, etc.) to ensure clean architecture
and maintainability in a codebase with numerous structurally similar classes;
▪ Implemented unit tests.

Project Team Size: 2-3 team members
Tools & Technologies: Python, Django, LangGraph, PostgreSQL, Docker, Nginx, AWS, Prometheus, Grafana, Jenkins,
CI/CD.

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Bogdan K.
Full Stack Developer
Multiple Projects in Outsource Company
Project Description: An outsourcing company providing services to various government and commercial
customers. Examples of work - the state platform for employment in the country, a catalog of
professions with a description of the requirements and conditions.
Domains: Government
Involvement Duration: 1 year, 6 months (August 2021 - February 2023) - Meduzzen
Project Role: Python Full Stack Developer
Responsibilities: ▪ Developed code;
▪ Upgraded existing codebase to the latest Django version;
▪ Created React components and supported existing ones;
▪ Integrated front-end and back-end using REST APIs;
▪ Integrated Elasticsearch engine;
▪ Developed REST APIs;
▪ Added multi-language support;
▪ Created customized Django admin panels;
▪ Integrated third-party APIs;
▪ Improved UI/UX;
▪ Provided product support and maintained documentation;
▪ Optimized database structures.
Project Team Size: 6-7 team members
Tools & Technologies: Python, Django, DRF, Django Haystack, GraphQL, Graphene Django, Django Grappelli, Django
S3direct, React, Redux, Axios, PostgreSQL, Elasticsearch, Celery, Docker, Docker Compose,
AWS (S3, ECR, ECS, EC2).

Certifications Python Advanced
EPAM University, Kyiv

Education Bachelor’s degree
National Aviation University
Computer Software Engineering

Languages English: Upper-Intermediate

Ukrainian: Native

Russian: Native

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