Дмитро

Dmytro Chumak
AI Backend / Applied AI Engineer
Ivano-Frankivsk, Ukraine • [відкрити контакти](див. вище в блоці «контактна інформація») • [відкрити контакти](див. вище в блоці «контактна інформація») • LinkedIn • GitHub

PROFILE

Software Engineer with 3+ years of commercial experience developing CRM systems, backend business logic, SQL
workflows and REST API integrations. Worked on LLM/MCP capabilities for CRM, including controlled tool access,
per-user limits, session/token handling and structured-output validation. Builds Node.js/TypeScript engineering tools and
NestJS services in personal projects. Focused on practical, secure AI-enabled backend workflows.

WORK EXPERIENCE

Jul 2023 – Present Full Stack Developer, CRM Studio
• Researched and worked on an LLM/MCP integration for CRM; proposed the approach and
demonstrated AI functionality to project management.
• Implemented access controls for CRM AI tools, including role/module permissions, per-user
restrictions and usage limits; handled sessions, tokens and JSON Schema response validation.
• Developed SuiteCRM backend modules using PHP, MySQL and JavaScript, with business
rules, data relationships and REST API integrations.
• Designed a GPS field-visit verification workflow with configurable location tolerance,
browser fallback, route visualization and error diagnostics.
• Investigated integration issues, performed code reviews and supported application releases
and client-facing CRM workflows.

EDUCATION

2020 – Jun 2024 B.Sc. Computer Engineering, Chernihiv Polytechnic National University
• Graduated with Honours; Computer Systems of Artificial Intelligence programme.

SKILLS

Applied AI & MCP LLM Integrations • MCP • Tool Permissions • Usage Limits • JSON Schema

Backend & Data Node.js • TypeScript • NestJS • PHP • REST APIs • MySQL • TypeORM

Engineering Tools Git • Docker • Linux/WSL • Jest • Supertest • Playwright • SuiteCRM

APPLIED AI & BACKEND PROJECTS

2026 – Present Dev Control – MCP Engineering Toolkit
Node.js, TypeScript, MCP, Git, OverlayFS; personal engineering project.
• Built controlled file/terminal tools for AI-assisted development, with command policies,
scoped access, Git worktrees and isolated workspaces.
• Integrated task tracking and external MCP services; added approval and review steps for
tool-driven changes.

2026 – Present Koshta – Personal Finance Application
NestJS, Node.js, TypeScript, MySQL, TypeORM, Next.js BFF, Docker; personal project.
• Designed a modular backend with NestJS API modules, MySQL entities and shared
TypeScript types; connected it to a Next.js BFF.
• Built transaction and account workflows; worked on payments, recurring operations and
business rules with automated tests and AI-assisted code review.

ADDITIONAL ENGINEERING EXPERIENCE

2024 Multiplayer Monopoly
Node.js, WebSocket, Angular; university graduation project.
• Developed event-driven game interactions and real-time synchronization of players, turns and
shared state.

ACADEMIC MACHINE LEARNING PROJECTS

2022 Rock-Paper-Scissors Image Classification
Python, TensorFlow/Keras; university project.
• Trained and evaluated a three-class neural network using a separate image test set; compared
training and test accuracy.

2023 Video Foreground Segmentation
Python, OpenCV, NumPy; university project.
• Processed video frames with MOG2 background subtraction, foreground masks and
compositing to replace the scene background.

LANGUAGES

Ukrainian Native speaker English A2