Valeriia Kudriavtseva
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Offer work 
Kropivnitskiy,
Ukraine
15 hours 1 minute back
available for hire
15 proposals made
age 27 years
on the service 1 month 13 days
Rating
Successful projects
Average rating
Language proficiency level
Українська: fluent
English: upper-intermediate
Skills and abilities
Programming
Design & art
Portfolio
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8000 USD EMBODY — D2C storefront on Next.js with AI product import and CRM
Website Development
Solo full-cycle D2C e-commerce for a premium women's fashion brand — 3 integrated applications in production at embody.com.ua.
• Storefront: Next.js 16 + Supabase, 12-table DB, variants, atomic stock decrement, wishlist sync, 21-day undo.
• Telegram product importer: GramJS + Claude Haiku Vision auto-tags categories (fallback scraper).
… • Admin + CRM: separate application — magic-link auth, multi-color CRUD, soft-delete + cron purge.
Launch after GPM-50 UX test based on my proprietary configuration (50 AI characters + 10 reviewers) and production audit (5 QA + 5 web developers + 3 FinOps synthetic agents). 100% payment success.
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1000 USD Ad Analyst MCP — daily digest of Meta, Pinterest, Google advertising
AI & Machine Learning
Custom MCP server that pulls daily performance data from Meta, Pinterest, and Google Ads — and delivers a summary table in Telegram.
How it works: Claude calls the tool → MCP server queries the Meta Marketing API, Pinterest Ads API, Google Ads API → aggregates spend / CTR / CPA / ROAS by campaigns → formats into one Telegram table with daily delta and weekly trend.
… Use case: replaces 3 dashboards + manual export to Sheets for D2C founders running paid ads across multiple channels. Anomaly flags (CPA spike, ROAS drop) pop up automatically.
Stack: Python, Meta/Pinterest/Google Ads APIs, Telegram Bot API.
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1200 USD Telegram MCP — import of goods from the channel to the website
AI & Machine Learning
MCP server that allows Claude to extract posts from a Telegram channel and convert each into a product on the website — photo, description, price, options — without manual data entry.
How it works: Claude calls the tool with channel id and date range → MCP server reads posts via MTProto → maps media to product images, caption to description, parses price/sku → pushes structured data to storefront (Supabase / API).
… Use case: small D2C brands that post new products directly in Telegram.
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1000 USD Payment Control MCP — a digest of invoices and payments for founders
AI & Machine Learning
Custom MCP server that scans 4 corporate Gmail inboxes for invoices, payment confirmations, and overdue reminders.
How it works: Claude calls the tool → MCP server pulls new emails via Gmail API → classifies (invoice / payment / reminder / spam) → delivers a morning digest in Telegram with amounts, deadlines, and direct links.
… Use case: replaces the daily ritual of opening 4 mailboxes for a solo founder. Catches missed invoices and overdue B2B payments. ~15–20 min/day saved + zero missed debts over 6 months.
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1000 USD Fal.ai MCP — image and video generation as Claude tools
AI & Machine Learning
Custom MCP server that exposes fal.ai endpoints (Seedream v4, Kling 2.1, Nano Banana Pro) as native tools for Claude.
How it works: Claude calls the tool with a prompt → MCP server hits the fal.ai API → returns the image/video URL + metadata. Built-in resume-cache (skips already generated assets between runs) and ffmpeg aggregation for multi-shot Reels.
… Use case: transforms a single brand brief into a full carousel or short-form video without manual work in Higgsfield UI. On top of this operates the EverStory content pipeline — 30+ posts/month with 95% visual consistency.
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800 USD EverStory — AI content pipeline for content generation
AI & Machine Learning
Fully automated content pipeline for a D2C memory brand on Instagram.
Stack: Higgsfield (Seedream v4 + Nano Banana Pro + Kling 2.1) via UI, fal.ai (Seedream / Nano Banana / Kling) for programmatic generation, ffmpeg for editing.
… Brand canon (3:2 frame, two rounded rects, Helvetica, film look) — the single source of truth. Each post undergoes 4-pass QA before publication: canon / aging-rule / artefact-source / brand + caption.
Result: 30+ posts per month with 95% visual consistency across 9 segments.
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