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Currently handling deployment of two projects across different hosting environments:
🔹 PHP CodeIgniter application on Bluehost
🔹 React & Node.js application on Contabo VPS
Strengthening my experience in server management, deployment pipelines, and production-ready applications.
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Creatives on Contra have earned over $150M and we are just getting started
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This has a solid information hierarchy for a cargo-services landing page—the service-card row sets context before the focused hero section, and the warm image treatment keeps the otherwise neutral layout human. The repeated card pattern should also scale well on mobile.
MyJobs is an AI-powered job application automation platform for LinkedIn
🎯 Core Mission
Automate the entire LinkedIn job application lifecycle—allowing users to apply to dozens of relevant jobs per week with minimal effort. Target: 75% time reduction in job searching.
🏗️ Architecture Highlights
Frontend: React 18 + TypeScript + Vite (chat, dashboard, automation controls)
Backend: FastAPI + LangGraph agent orchestration + MCP servers (Jobs, Resume, Interview, Analytics)
AI/ML: Multi-LLM (Ollama local + Anthropic Claude), RAG pipeline with Qdrant vector store
Data: PostgreSQL (relational) + Qdrant (vector embeddings)
Automation: Playwright for LinkedIn interactions, VAPI for voice screening calls
💡 Key Features
Chat Interface — Natural language commands (/apply, /status, /search)
Resume Management — Upload, AI-optimize for ATS, tailor per job
LinkedIn Automation — Auto-fill applications, send follow-ups, track status
Job Profiles — Create multiple search profiles (keywords, locations, levels)
Applications Dashboard — Kanban board + table view of all applications
Interview Prep — VAPI voice agent for HR screening calls
Analytics — Insights on response rates, time-to-interview, etc.
📊 Data Flow
User message → WebSocket → LangGraph Agent → RAG retrieves resume/job context → LLM (Ollama/Claude) → MCP tools execute → Response streams to user
Built an automation and API workflow system focused on reliable integrations, webhook processing, retries, duplicate protection, and failure recovery.
The project demonstrates how external services can be connected into dependable workflows with clear execution states, error handling, and production-ready automation logic.
Stack: TypeScript, Node.js, APIs, webhooks, automation workflows, databases, and cloud deployment.
