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Andrii Siuta

Principal Front-End EngineerAngular & Web Platform ArchitectNx Monorepo ArchitectTech Lead · AI Agentic Engineer

I design and scale front-end platforms — modern Angular, signals-based architecture, SSR/SSG, and Nx monorepos serving distributed teams across fintech, Web3, healthcare, and mobility — and build the agentic AI workflows that ship them: harnesses, MCP servers, and CI review agents.

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📍 Lviv, Ukraine · open to consulting & architecture work

100+repos in one Nx monorepo
40–60%CI build time reduction
100k+LOC migrated AngularJS → Angular 18
20–30%Core Web Vitals improvement

01. Experience

Independent Consultant · Push-Based

Nx Architect · Front-End Architecture Consultant

2024 — presentEnterprise · Consulting · EV Platform
  • Architectural consulting for enterprise front-end platforms: scalability, performance, modern Angular practices
  • Architected and scaled Nx monorepo infrastructure across 100+ repositories; CI build times cut 40–60% with distributed caching and affected builds
  • Built custom Nx plugins standardizing build, test, and deployment; drove adoption of modern Angular (SSR, Signals, Nx) across teams
  • AI-assisted engineering: Claude and Codex integrated into development and code-analysis workflows

Microsoft Germany

Senior Software Engineer

2024 — 2025Healthcare Platform
  • Led migration of a ~100k+ LOC AngularJS codebase to Angular 18
  • Improved LCP and TTI through architectural and SSR-based optimizations
  • Designed CI/CD pipelines improving deployment stability and release cycle time
  • Real-time, high-load applications with complex data flows

Clover / Ledgerset

Angular Tech Lead

2023 — 2024Supply Platform
  • Architected a scalable Angular platform reused across multiple applications (~30% efficiency gain)
  • Built a reusable UI library that raised development speed and cross-team consistency
  • Led code-quality initiatives reducing production defects and technical debt

Intellias

Software Engineer → Team Lead → Principal Software Engineer

2019 — 2022Geospatial · Map Product Platform
  • Grew from Software Engineer to Principal within the company, ending as technical lead across large-scale infrastructure projects
  • Greenfield development from concept to implementation: technology selection, module definition, coding standards
  • Led a team of 5 front-end developers; +30% delivery efficiency
  • Guided architectural decisions and mentored engineers on performance, accessibility, and maintainability

Ncube

Senior Angular Developer

2020 — 2021Crypto Trading Platform
  • Front-end architecture for real-time trading interfaces
  • Custom Angular components for Mapbox-powered map interactions
  • Complex UI: infinite scroll, high-interaction elements, rich animations

Euristiq

Software Engineer

2017 — 2019Internal Tools
  • Scalable applications for data identification, extraction, analysis, and indexing
  • PWA targeting mobile and desktop; custom Angular Material UI controls

Google

Summer Intern, Software Engineering

2016Warsaw, PL
  • Features for an internal Google product in a cross-functional team
  • Code reviews and engineering practice under Google standards

02. AI Engineering

I treat AI as part of the engineering system, not a chat window: agents work inside a harness — rules, roles, integrations, and checks — through a controlled initiation → planning → implementation → validation → completion cycle. Applied daily in enterprise work: CI review agents, AG-UI, and custom MCP servers.

🧭

AI-harness architecture

Design of controlled AI-assisted workflows: project rules, reusable skills, specialized subagents (planner, implementer, reviewer, tester, verifier), and hooks as automatic guardrails

📐

Spec-Driven Development

Features run through a 5-phase pipeline — requirements → spec → plan → implementation → verification — producing merge-ready PRs, not plausible-looking code

🔌

MCP servers

Building custom Model Context Protocol servers that connect agents to GitHub, issue trackers, APIs, and internal enterprise services with controlled access

✅

AI verification in CI

Custom CI agents that review code against plan and requirements in the pipeline — cross-model review, plan verifiers, and automated quality gates

🕸️

Multi-agent orchestration

Parallel agent fan-out across git worktrees for migrations and large changes, with adversarial review and per-run cost control

📊

Evals, cost & AG-UI

Trace-based evals for LLM features, cost reporting for AI-assisted delivery, and agent-user interfaces (AG-UI) embedding agents into enterprise apps

capstone

DevDigest ↗

Capstone of the AI Agentic Engineering course, grown into a working AI engineering platform: GitHub-connected code review with custom reviewer agents, MCP integrations, CI verification, eval pipeline, and a distributable team plugin.

03. Skills

⚡ Core

Angular 17–18+SignalsRxJSTypeScriptJavaScript

🏗️ State & Architecture

NgRx · Signal StoreNGXSNx · Nx CloudMicro-frontends (Module Federation)Design Systems

🚀 Rendering & Performance

SSR (Angular Universal)SSG · HydrationCore Web Vitals (LCP · CLS · INP)Lazy loading · code splitting

🧪 Testing

JestCypressPlaywrightKarma

🔧 DevOps & CI/CD

Azure DevOpsGitHub ActionsGitLab CICaching strategies

🤖 AI & Agents

Claude · Codex in engineering workflowsMCP servers (custom)AG-UICI verification agentsMulti-agent workflowsEvals & cost control

04. Domain expertise

💳

Fintech & Banking

Secure, high-reliability systems with real-time updates over WebSockets

🪙

Crypto / Web3

Trading UIs with high-frequency data, wallet flows, live charts

🗺️

Geospatial & Maps

Mapbox and WebGL with large datasets and custom layers

🏥

Healthcare

Data-driven applications focused on reliability and structured UX

🎬

Video & Streaming

Real-time playback and streaming performance optimization

🔋

Mobility & EV

Scalable front-ends for transport and electric-vehicle platforms

🛡️

Defense / High-Security

Strict performance, reliability, and secure data handling

📋

Insurance

Dynamic form builders and validation engines for policy systems

05. Key achievements

06. Education

CERT · 2026

AI Agentic Engineering — Neoversity

AI-harness design, SDD pipeline, subagents, MCP, CI verification agents, evals, cost control

Ivan Franko National University of Lviv

Master's, Computer Science 2018 — 2020

Lviv Polytechnic National University

Bachelor's, Applied Mathematics 2014 — 2018