Gleb Marjin's Work | ContraWork by Gleb Marjin
Gleb Marjin

Gleb Marjin

Full-Stack AI Dev | LLM Integration & RAG | React · Python

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Cover image for Visual content is the lifeblood
Visual content is the lifeblood of E-commerce. I developed Reelwise to help Shopify owners automatically turn product listings into engaging video ads. The Challenge: Handling heavy video processing while maintaining a smooth Shopify Admin experience. The Result: A plug-and-play app that saves merchants hours of manual editing by leveraging AI for video synthesis and captioning.
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Cover image for Developed "Article Hunter," a sophisticated
Developed "Article Hunter," a sophisticated automation bot that bridges Reddit and Telegram using AI. The system monitors specific subreddits in real-time via RSS/API, processes content through OpenAI (GPT-4) for lead scoring, and delivers formatted alerts to Telegram. Key features: • Backend: Built with Node.js and a Postgres DB for persistent data storage and event tracking. • AI Logic: Custom prompt engineering for automated content summarization and filtering. • Integration: Seamlessly connects Reddit, OpenAI, and Telegram APIs to automate marketing workflows.
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Cover image for Developed TaxGuardHub, a specialized B2B
Developed TaxGuardHub, a specialized B2B tool for Romanian accountants to decode complex ANAF e-Factura XML errors into clear, actionable instructions. Key Features & Impact: • Privacy-First Architecture: Implemented in-memory RAM processing with zero persistent storage to ensure maximum data security. • UBL XML Parsing: Built a robust logic to map technical validation codes (BR-RO) to specific business fields. • User Retention: Integrated a freemium model with secure email reporting. • Outcome: Reduced invoice troubleshooting time from hours to seconds for local firms.
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Cover image for Developed Ghostpen, an AI-powered SaaS
Developed Ghostpen, an AI-powered SaaS for marketing automation. Built with Next.js and TypeScript, it features a robust backend integrated with Supabase for secure data management and RLS. I implemented a complex payment architecture using Paddle, including server-side transaction logic for promotional offers ($1 trial). Key technical achievements: architected a secure environment for API keys, resolved critical auth-callback issues, and integrated LLMs for content generation. A production-ready solution focused on security, scalability, and seamless UX.
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Cover image for Developed a high-performance RAG chatbot
Developed a high-performance RAG chatbot for automated FAQ support. Key features: - Zero-hallucination RAG engine using FastAPI, LangChain, and FAISS vector search. - Automated Lead Generation form that triggers when the bot cannot find an answer. - Multi-model support (GPT-4o, Gemini, Llama 3) via OpenRouter API. - Premium UI: Lightweight, embeddable JS/HTML widget with quick-reply buttons and smooth animations. - Session-based memory for context retention. - Delivered a production-ready solution that improves support efficiency and captures leads 24/7.
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