Dmytro Shevchuk
Offer Dmytro work on your next project.
Rating
Language proficiency level
Skills and abilities
Portfolio
-
AI Calorie Tracker Agent (Saves up to 10 hours/week on data entr
AI & Machine LearningProblem:
Businesses struggle with complex data logging forms. Solution must be secure, conversational, and persistent.
… Solution:
A custom AI Conversational Agent built on n8n that uses Telegram for simple input and OpenAI for natural language processing (NLP). Data is securely stored in Supabase and instantly provides statistical feedback.
Value Proposition:
Demonstrates the creation of smart, zero-friction user interfaces applicable to any industry needing easy data logging (e.g., expense tracking, habit tracking, customer feedback collection).
-
AI LinkedIn Lead Engine (200% Faster Lead Qualification)
AI & Machine LearningProblem:
Manual LinkedIn lead scraping and personalization are slow, expensive, and non-scalable. Sales outreach lacks personalization.
… Solution:
A robust, multi-stage engine that uses external Scraping APIs combined with n8n's iteration logic and OpenAI GPT. The system filters, enriches, and auto-generates highly personalized outreach summaries, pushing sales-ready data to Airtable.
Value Proposition:
Showcases expertise in building high-ROI sales infrastructure and leveraging AI for hyper-personalization, drastically boosting sales team efficiency and lead conversion rates.
-
E-commerce Fulfillment & Ad Optimization (Increased Ad ROI)
AI & Machine LearningProblem:
Digital product delivery must be instant. Sales events must be accurately tracked to optimize ad spend on platforms like Facebook.
… Solution:
A mission-critical flow on Make.com triggered by Paddle payment webhooks. The system instantly delivers the digital product via Mailgun and simultaneously transfers precise conversion data to the Facebook Conversions API.
Value Proposition:
Confirms competency in building high-value, cross-platform E-commerce integrations. I specialize in workflows that boost ad ROI by closing the loop between sales and advertising platforms.
-
Google Maps Mass Lead Scraper (Mass Data Acquisition & Enrichmen
AI & Machine LearningProblem:
Acquiring high-volume, geographically targeted B2B lead data is costly and requires dedicated scraping infrastructure.
… Solution:
A scalable Google Maps Scraper using the Serper API and n8n's batch processing and Loop Over Items architecture. The raw data is enriched with an OpenAI layer for business summaries and instantly logged to Airtable.
Value Proposition:
Confirms proficiency in large-scale data acquisition, multi-API coordination, and professional error management. I build lead generation pipelines that scale your business growth securely and efficiently.