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Kiril Cherkasov​
Ukraine · Remote​
Email: [відкрити контакти](див. вище в блоці «контактна інформація»)

Junior AI Engineer / AI-assisted
Full-Stack Developer
Backend / full-stack developer with several years of commercial web development
experience and practical experience using AI tools to speed up development. I have worked
with production web applications, backend logic, REST APIs, integrations, HTML/CSS,
JavaScript, React basics, testing and debugging.

I am interested in an AI-first engineering role where tasks are described through clear
technical requirements, User Stories and Acceptance Criteria, and the goal is to deliver
working, tested business features quickly and reliably.

Core Skills
AI-assisted development: ChatGPT, Codex, AI-assisted coding, code review, refactoring,
test generation, task decomposition​
Backend: Ruby on Rails, Python basics, REST API, JSON, webhooks, service objects,
background jobs​
Frontend: HTML, CSS, JavaScript, React basics, responsive UI, frontend components​
Databases: PostgreSQL, SQL, Redis basics​
Testing: RSpec, Capybara, manual testing, regression checks, acceptance criteria
validation​
Tools: Git, Docker basics, CI/CD basics, Linux/macOS, logs analysis​
Other: CRM / third-party service integrations, technical support mindset

Professional Summary
●​ Several years of commercial experience in web development and production support.
●​ Able to work with prepared technical tasks, understand requirements, implement
features and test the result.
●​ Practical backend experience with REST APIs, data processing, integrations and
business logic.
●​ Comfortable with frontend tasks: HTML/CSS layouts, JavaScript behavior, UI fixes
and React components.
●​ Use AI tools to accelerate development, but always review, understand and test
generated code.
●​ Able to read existing code, debug issues and communicate clearly with technical and
non-technical teammates.
●​ Responsible for delivering tasks to a finished, working state rather than only writing
code.

Relevant Experience
Backend / Full-Stack Developer

Commercial Web Projects · Remote

●​ Developed and maintained web application features using Ruby on Rails,
PostgreSQL, JavaScript, HTML and CSS.
●​ Implemented backend logic, API endpoints, validations, integrations and data
processing flows.
●​ Worked with third-party services, webhooks and business workflows.
●​ Fixed frontend issues, updated UI components and worked with templates/layouts.
●​ Wrote and maintained automated tests with RSpec and Capybara.
●​ Used Git-based workflow and participated in debugging, testing and release
preparation.
●​ Investigated production issues, checked logs, reproduced bugs and prepared fixes.
●​ Communicated with team members to clarify requirements and deliver expected
results.

AI-assisted Development Practice
●​ Use AI tools such as ChatGPT and Codex to speed up development tasks.
●​ Break down technical requirements into smaller implementation steps.
●​ Generate draft code, tests and documentation with AI assistance.
●​ Review generated code manually and check that the implementation matches the
task.
●​ Validate edge cases, run tests and debug problems before considering a task
finished.
●​ Use AI as a productivity tool, not as a replacement for understanding the code.

Selected Cases
Case 1 — API Integration and Backend Business Flow

Worked on production backend features where the application had to communicate with
external services through REST APIs and process business-critical data.

What I worked with:

●​ Ruby on Rails backend logic
●​ REST API requests and responses
●​ JSON data processing
●​ Webhook-style flows
●​ PostgreSQL data validation and persistence
●​ Background jobs / async processing
●​ Error handling and retry logic
●​ Logs analysis and debugging
●​ RSpec tests for business logic

Example tasks:

●​ Implemented backend flows that received or requested data from external services.
●​ Parsed API responses, validated incoming data and saved it into the application
database.
●​ Added error handling for failed API responses, invalid payloads and edge cases.
●​ Debugged production issues using logs and request/response analysis.
●​ Covered important business logic with automated tests.

Result:​
Helped make business workflows more stable, reduced manual checks and improved
reliability of integrations between the application and external services.

Case 2 — Full-Stack Feature Delivery for Production Web Application

Worked on web application features that required both backend changes and frontend
implementation.

What I worked with:

●​ Ruby on Rails
●​ HTML / CSS
●​ JavaScript
●​ React basics
●​ Rails views / templates
●​ Forms and validations
●​ Admin / internal business tools
●​ PostgreSQL
●​ Git workflow
●​ Manual testing and regression checks

Example tasks:

●​ Implemented new pages, form logic and UI changes based on business
requirements.
●​ Added backend validations and connected frontend forms with backend processing.
●​ Worked with existing code, understood how the feature should behave and updated
the required parts safely.
●​ Fixed UI bugs, layout issues and JavaScript behavior.
●​ Tested the final result against expected behavior before delivery.
Result:​
Delivered complete business features instead of isolated code changes: backend logic,
frontend behavior, validation, testing and debugging.

Case 3 — AI-assisted Development Workflow

Used AI tools to accelerate development while keeping manual control over code quality and
implementation details.

What I worked with:

●​ ChatGPT
●​ Codex
●​ AI-assisted task decomposition
●​ Draft code generation
●​ Test generation
●​ Refactoring support
●​ Debugging assistance
●​ Documentation and technical notes

Example workflow:

●​ Start from a technical task or business requirement.
●​ Break it down into smaller implementation steps.
●​ Use AI tools to generate a first draft of the solution.
●​ Manually review the generated code and check whether it fits the existing project
architecture.
●​ Ask AI to help find edge cases, missing validations and possible failure points.
●​ Add or update tests.
●​ Run the code, debug errors and adjust the implementation.
●​ Finalize only after I understand what each important part of the code does.

Example tasks where AI was useful:

●​ Generating draft service objects and API integration code.
●​ Preparing RSpec test cases for backend logic.
●​ Refactoring duplicated or hard-to-read code.
●​ Explaining unfamiliar parts of an existing codebase.
●​ Creating implementation plans from larger technical requirements.
●​ Checking whether a solution matches acceptance criteria.

Result:​
AI helped speed up routine development work, but the final responsibility stayed with me:
code review, testing, debugging and understanding the implementation before delivery.
Why I Fit This Role
TOP Superfoods is looking for a junior AI-oriented engineer who can use AI tools to solve
real full-stack business tasks. My background matches this well: I have practical web
development experience, can work with backend and frontend tasks, understand APIs and
testing, and use AI tools responsibly to deliver faster.

I can help with website improvements, API integrations, CRM/data flows, CMS-related tasks,
frontend components, technical support and automation of internal business processes.

Languages
Ukrainian / Russian — fluent​
English — intermediate technical reading and communication

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