Aleksandr Rabdaev — Frontend Engineer × AI Systems
I ship production frontend and AI systems work — as a freelancer on fixed-scope projects, or full-time on a team.
FREELANCE / PROJECT WORK
A small number of projects at a time, each with a defined scope and a measurable outcome — not an open-ended retainer.
FOR TEAMS STUCK ON A LEGACY STACK (VUE 2, UNTYPED JS, NO CI)
- Migrated core flows on React or Vue 3 + TypeScript
- CI/CD + test coverage on critical paths
FOR FOUNDERS/AGENCIES NEEDING A COMPLEX, MOTION-DRIVEN INTERFACE
- Fully responsive, accessible frontend
- Custom motion system (GSAP), no template components
FOR TEAMS EVALUATING A GENERATIVE-AI OR CV WORKFLOW
- Working ComfyUI/LoRA or evaluation pipeline
- Written report: what worked, what to build next
HOW TO START
- 1Send a brief — what you’re building and why.
- 2I propose a track: fixed scope, fixed price.
- 3Run a small paid pilot before committing further.
FULL-TIME / CONTRACT ROLES
Selective about roles — looking for teams where frontend architecture and AI systems work are both taken seriously, not one bolted onto the other.
WHAT I BRING
- 6+ years shipping production frontend at scale (Magnit, MTS, Toolkit Tech, Flowwow)
- React, Vue 3, and TypeScript — fluent in both, not migrating off one to learn the other
- Full ownership track record: architecture, CI/CD, infrastructure, not just components
- Applied generative-AI systems experience — pipelines, evaluation, not just API calls
IDEAL ROLES
- Senior / Staff Frontend Engineer
- Frontend × AI Systems Engineer
LOCATION & SETUP
WHAT I BUILD
FRONTEND
Production-grade interfaces. Component architecture, state management, performance at scale.
- React
- Vue
- Nuxt
- TypeScript
- Vite
- GSAP
- Vitest
SYSTEMS
Infrastructure, containerization, CI/CD pipelines, server configuration, deployment architecture.
- Docker
- Redis
- nginx
- CI/CD
- Linux
- GitLab
- NestJS
AI
Generative model pipelines, automated evaluation systems, LoRA training, computer vision.
- ComfyUI
- Flux
- Krea
- LoRA
- Computer Vision
- Evaluation
- Automation
CASE STUDIES
DEEP TECHNICAL EVIDENCE
CAREER
ENGINEERING CHANGELOG
Concept to closed beta (~50 active users). Avg generation: 12s. Registration-to-order conversion: 18%.
Time-to-Interactive −40% via critical CSS, lazy loading, and async components. Team: 15.
Interface load time −60% via AST traversal and render function optimisation.
Module Federation reduced bundle size by 70% and initial load by 60%. Stage-embedded debugger cut testing time by 30%.
OAuth 2.0 integration reduced authentication bugs by 40%. Mentored junior developers.
Built a reusable landing page scaffold that cut new-project setup time from scratch.
Frontend engineer with 6+ years building production interfaces at scale. Specialist in complex interactive systems — the kind where performance, architecture, and experience design are all in tension at once.
Currently exploring the boundary between frontend engineering and generative AI — building automated evaluation pipelines, LoRA training workflows, and production-ready generative systems.