Євгеній

Evgeniy Matviychuk
AI-Native Full-stack Software Engineer

Executive Summary
AI-native Full-stack Software Engineer with 4+ years of commercial experience building scalable, production-grade
web applications. Core stack: React, Next.js and TypeScript on the frontend; Node.js, Express and NestJS on the
backend, with PostgreSQL and MongoDB. Actively integrate AI into products — not just the workflow — through
OpenAI/Claude API integrations, agentic workflows with LangChain/LangGraph, and RAG. Comfortable owning a
feature end-to-end: architecture, implementation, deployment, and post-launch iteration. Quick learner, clear
communicator, and a proactive, self-sufficient contributor to any engineering team.

Skills
Node.js / Express.js / NestJS JavaScript / TypeScript Scrum (Agile)
DBs (PostgreSQL, MongoDB) / ORMs React (19) Proactivity
REST API / GraphQL Redux Toolkit / Zustand Clear communication
Docker / AWS Next.js (16) & ecosystem Quick learner, self-sufficient
Stripe / Twilio / OAuth / Supabase / UI libs (MUI, Radix) / Tailwind
Vercel
Git AI: OpenAI API, Claude API,
LangChain/LangGraph, RAG

Foreign Language Skills
English – Fluent (Writing & Speaking)

Projects

AI Knowledge Management, SaaS
Duration: December 2025 – September 2026
Role: Senior Full-Stack Engineer / AI Integration Specialist
Project description: AI-powered B2B SaaS platform automating enterprise knowledge management, providing
accurate semantic search across corporate documents via a Retrieval-Augmented Generation
(RAG) pipeline.
Responsibilities: Drove core development of the platform's AI/RAG capabilities within a two-person
engineering team, building on an existing product foundation
Designed and implemented a RAG pipeline for accurate semantic search across corporate
documents
Stored vector embeddings directly in PostgreSQL via the pgvector extension, using Prisma
ORM for type-safe data access
Built enterprise data connectors (Notion, Google Drive) with secure OAuth 2.0 authorization
Engineered a scalable background processing system (BullMQ + Redis) for asynchronous
document fetching, chunking, and vectorization without blocking the main event loop
Configured real-time sync via Notion API webhooks to update embeddings only for modified
document sections
Built an agentic workflow with LangChain for intelligent prompt routing — dynamically
classifying whether a query needs the RAG vector store, general LLM knowledge, or SQL
generation
Implemented real-time response streaming (SSE) on the React frontend and a conversation
memory manager with dynamic token truncation to stay within OpenAI context limits

Technologies: TypeScript, Node.js, NestJS, React, PostgreSQL, Prisma ORM, pgvector, Redis, BullMQ,
OpenAI API, LangChain, OAuth 2.0, Notion API, Google Drive API

Browser security, SaaS
Duration: April 2023 – November 2025
Role: Full-stack Software Engineer
Project description: Browser security platform for MSPs.
Responsibilities: Back-end API development: business logic, sync/async microservice communication, DB
queries
Third-party integrations: data scraping, interactive charts embed
DB query performance optimizations
Code quality maintenance through iterative refactoring
UI / layout development
Technologies: Microservice architecture, Fastify, Docker, TypeScript, AWS RDS (PostgreSQL), AWS EKS,
Kafka, CI/CD (GitHub runners), Jest, MUI, Next.js, MobX, React Testing Library, Metabase,
Knex, internal CLI tools for k8s ephemeral environment deployments, shared NPM package,
monorepo, runtime types with Typebox, JWT + cookies custom session adapter for Fastify,
Microsoft Azure / Entra SSO, Plasmo (extension development), C# .NET agent, Swagger

Identity security, SaaS
Duration: May 2022 – April 2023
Role: Full-stack Software Engineer
Project description: A suite of AI-driven SaaS tools providing identity security solutions within enterprise-scale
organizations.
Responsibilities: Back-end API development: business logic, sync/async microservice communication, DB
queries
Third-party integrations: logging & monitoring, underlying services
Complex UI component development
Tech feasibility research, epic & user story decomposition
Code quality maintenance through iterative refactoring
Technologies: TypeScript, Next.js, Redux Toolkit, Tailwind, Websockets, Radix UI & Custom design system
(standalone reusable NPM package), Apollo GraphQL, Nest.js, TypeORM, AWS RDS
(PostgreSQL), AWS DynamoDB, microservice-based architecture (AWS ECS / EKS), Kafka,
CI/CD (GitLab)

Education
Information Systems and Technologies – Bachelor’s degree
Zhytomyr Polytechnic Institute • Zhytomyr

Certificates
English B2 Certificate – Cambridge Assessment (10/2019 – 08/2020)
HTML, CSS, and JavaScript for Web Developers – Coursera (09/2020)