Vladyslav
Full stack developer
- Employment type:
- full-time
- Age:
- 30 years
- City of residence:
- Mykolaiv
- Ready to work:
- Remote
Contact information
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You can get this candidate's contact information from https://www.work.ua/resumes/10746981/
Work experience
Full Stack Developer
from 10.2025 to now
(1 year 2 months)
Lumitech, Дистанційно (IT)
• Owned a teleradiology and medical-imaging SaaS on both sides, authoring ~70% of the API and web codebases - a 52-table PostgreSQL schema, 160 endpoints, 36 migrations, 24 admin views, and RBAC across 88 permissions with JWT + OTP + Argon2 auth on Fastify with Awilix DI.
• Built the DICOM pipeline end to end (parsing, DICOMweb WADO/QIDO proxy, OHIF viewer) and automated report generation with Puppeteer and templated worksheets, replacing hand-assembled radiology reports across the full study and sign-off lifecycle.
• Designed and shipped a real-time SOS and hazard-alert system for a racing-safety platform - rider-triggered medical, hazard and technician alerts broadcast to affected race classes, delivered within 5 seconds, with full-screen swipe-to-acknowledge overlays and offline-aware, server-tracked acknowledgement.
• Built an AI assistant with streaming WebSocket delivery and an AWS Rekognition photo-verification pipeline (face-quality scoring plus collection matching) inside a 236-endpoint API and a 199-screen React Native app built on MVVM across 32 feature modules.
• Provisioned infrastructure as code with Terraform on GCP and AWS; shipped on Cloud Run with Google Cloud Storage and GitHub Actions CI/CD.
Frontend Web Developer
from 10.2024 to 02.2025
(5 months)
Aleslim, Дистанційно (IT)
Built a performant, accessible React and TypeScript app (project-based), translating Figma designs into polished production UI with a focus on seamless UX. Implemented an in-app AI assistant integrating NLP models to automate key workflows. Owned the full frontend cycle: UI/UX, forms (React Hook Form + Zod), internationalization (i18next), animation (Framer Motion) and optimized data fetching.
Frontend Web Developer
from 06.2024 to 10.2025
(1 year 5 months)
Lexicon Labs, Дистанційно (IT)
• Built the consumer PWA and the conversion-optimised quiz funnel of an AI nutrition and weight-loss coaching platform (React/Vite front end, NestJS/TypeORM API on PostgreSQL), covering the journey from paid acquisition through daily AI-assisted coaching.
• Delivered the web application and the real-time voice-chat client of a multi-tenant agentic RAG platform, against a NestJS/TypeScript API gateway carrying all tenant traffic, with a Next.js marketing site and Payload CMS on a shared multi-tenant data model.
Education
Mykolayiv National Agrarian University
Master's degree of Agricultural Engineering, Миколаїв
Higher, from 2013 to 2019 (6 years)
Master's diploma with honours.
Knowledge and skills
- HTML
- CSS
- JavaScript
- Git
- React
- SASS
- Figma
- GitHub
- TypeScript
- Redux
- Tailwind CSS
- React Hook Form
- React Query
- Zod
- Prisma ORM
- Node.js
- NestJS
- Fastify
- PostgreSQL
- GraphQL
- Next.js
- REST API
- Material UI
- Framer Motion
- Axios
- Docker
- Terraform
- React Native
- WebSocket
- Jira
- AWS
- Google Cloud Platform
- Zustand
- LangChain
- SQL
- Shadcn UI
- I18next
- Chart.js
- Expo
- Redux Toolkit
- Express
- Socket.IO
- CI/CD
- GitHub Actions
- LangGraph
- OpenAI
- Claude
- Prompt Engineering
- Feature-Sliced Design
- Atomic Design
Language proficiencies
English — above average
Additional information
• Full-stack TypeScript developer who builds product systems end-to-end: PostgreSQL schema, API, web and mobile UI, cloud infrastructure, and LLM features. Core stack: Node.js / Fastify (Prisma, PostgreSQL), Next.js / React, Expo / React Native, Terraform on GCP and AWS, OpenAI via LangChain, Vertex AI (Gemini).
• Owns whole systems, not tickets. Main author of a teleradiology SaaS, about two-thirds of its API and web code: a 52-table schema, 160 endpoints, and RBAC across 88 permissions.
• Integrates third-party APIs and webhooks. Connected nine external services in production: Meta, ChatGPT and Reddit Ads APIs, AppsFlyer, Datadog, OneSignal, AWS Rekognition, Google Places and OpenAI. Handles rate limits, retries, restated data, and webhook events that arrive twice.
• Builds marketing analytics. Shipped a seven-page analytics admin for a consumer app: installs by media source, daily ad spend from three networks with cost per download and per registered user, retention cohorts and churn on raw SQL.
• Automates manual work. DICOM-to-PDF radiology reports, AWS Rekognition photo verification instead of manual review, and track-hazard alerts that reach riders within 5 seconds.
• AI-augmented developer. Works spec-first in Claude Code with subagents and MCP/CLI: Datadog and AppsFlyer MCP to query RUM and attribution data, plus Figma, Jira, Slack and GitHub.
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