Stanislav Dodonov - AI Engineer

Overview

A beginner-level frontend contributor (Intern) - there are no human-authored source files available that demonstrate independently designed frontend systems. No proven skill can be substantiated from human-authored artifacts; most top-level files are generated/AI-marked or clearly boilerplate. Public code does not evidence component architecture ownership, async state discipline, measured performance work, or test coverage, so a deeper technical assessment is not possible.

Technical skills

JavaScript• Middle • 6y+

AI/ML

AI Agents• 5+ projects

Prompt Engineering

Cursor• 5+ projects

AudioCraft

huggingface_hub

Timeline

AI Engineer • Middle

Freelance • Full-Time

Feb 2025 to Present 1 Year 6 Months Yekaterinburg Remote only

Built and launched ContextLab, an AI plugin for Adobe Premiere Pro, and drove early GTM using demos and onboarding materials. Designed AI workflow features including feedback parsing with timeline markers and transcript-to-captions generation with automatic placement. Implemented a single source of truth architecture and eval/guardrails to reduce client revision cycles and prevent data sync errors. Redesigned the Rename It Premiere Pro plugin by migrating to a modern Bolt-CEP + Vite + TypeScript setup for compatibility and better performance.

JavaScript

Vite

Adobe Premiere Pro

ChatGPT

LLM

Prompt Engineering

Claude

Claude Code

Cursor

AI Agents

MVP

Intern Frontend Developer Confidence: Low Generalist

A beginner-level frontend contributor (Intern) - there are no human-authored source files available that demonstrate independently designed frontend systems. No proven skill can be substantiated from human-authored artifacts; most top-level files are generated/AI-marked or clearly boilerplate. Public code does not evidence component architecture ownership, async state discipline, measured performance work, or test coverage, so a deeper technical assessment is not possible.

UI Component Architecture

How interface parts are built

Not evidenced in public code

Responsive & Cross-browser

Works on all screens and browsers

Not evidenced in public code

Performance Optimization

Speed of the interface

Not evidenced in public code

Accessibility & Semantics

Usable for everyone

Not evidenced in public code

State Management & Data Flow

Managing data in the app

Not evidenced in public code

UX & Visual Polish

Look and feel quality

Not evidenced in public code

Recommendations

Assign to static landing pages or marketing UIs where design-to-HTML/CSS work and modest JS interactions are the main tasks.
Give tasks to implement and own small UI components (form inputs, accessible buttons) and basic form validation to build component-authoring experience.
Pair-program on input masking, simple async form submission (with cancellation and basic error handling), and progressive enhancement for accessibility.
Work on image/performance hygiene for pages - lazy-loading, responsive srcsets, and light code-splitting for non-critical assets.

Repositories

The developer's experience in this domain has been verified based on AI analysis of the following repositories:

usmanovafit-landing