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Vladyslav

Full stack developer

Вид зайнятості:
повна
Вік:
30 років
Місто проживання:
Миколаїв
Готовий працювати:
Дистанційно

Контактна інформація

Шукач вказав: ТелефонЕл. поштуLinkedInМесенджер

Прізвище, контакти та світлина доступні тільки для зареєстрованих роботодавців. Щоб отримати доступ до особистих даних кандидатів, увійдіть як роботодавець або зареєструйтеся.

Досвід роботи

Full Stack Developer

з 10.2025 по нині (1 рік 2 місяці)
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

з 10.2024 по 02.2025 (5 місяців)
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

з 06.2024 по 10.2025 (1 рік 5 місяців)
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.

Освіта

Mykolayiv National Agrarian University

Master's degree of Agricultural Engineering, Миколаїв
Вища, з 2013 по 2019 (6 років)

Master's diploma with honours.

Знання і навички

  • 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

Знання мов

Англійська — вище середнього

Додаткова інформація

• 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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