AI Agent Engineer Projects in Mulund West
AI Agent Engineer Projects in Mulund West
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1
Adarsh Khant
Built an AI-powered Gmail automation using n8n + ChatGPT.
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76
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Shezaan Ansari
pro
Support AI Agent for Cartelle
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22
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Rohit .
I built FlowLancer — My End-to-End Autonomous Freelance AI Agent As a freelancer, I was spending way too many hours on admin work — managing clients, proposals, time tracking, invoicing, and follow-ups. So I created FlowLancer, my custom AI agent in Notion that handles almost all backend operations automatically. Here’s what it does for me: • Processes new client emails and turns them into proper projects + proposals • Creates my daily plan every morning with prioritized tasks • Logs time automatically when I tell it • Tracks project progress and creates next tasks • Prepares invoice drafts when milestones are complete • Sends polite payment reminders • Gives me a full weekly summary every Sunday Now I spend 90% of my time on actual client delivery work instead of operations. 🔗 Agent: FlowLancer (https://www.notion.so/marketplace/custom-agents/flowlancer)
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592
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Vishal Gupta
pro
Munim: Open-Source Multi-Account MCP Server
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8
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Abhishek Kumar
pro
RAG chatbot
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155
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Amol Bhosale
Multi-Agent AI: Analyst-Ready Briefs (LangGraph + MCP)
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4
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Viral Waghela
LeadLens CareOS — Approval-First AI Automation for Clinics
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HarshitPratap Shahi
PDF RAG AI Agent with Milvus and Agno - StackBlitz
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Rohit .
Most AI tools help you write. Designa helps you build. Inside Notion, you can just tag @designa and describe anything: “Freelance manager” “Startup dashboard” “Food delivery app” And it turns that idea into a working system. You get: – Structured databases – Smart workflows – UI ideas + layouts – Even code + flows in FigJam No switching tools. No complex setup. It connects everything in one place and actually makes it usable. This is what a real AI agent looks like. Not just generating content… But turning ideas into systems you can use instantly. 🔗 Agent: Designa (https://www.notion.so/marketplace/custom-agents/designa)
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Viral Waghela
Built an appointment management module inside LeadLens CareOS to centralize scheduling and reduce fragmented clinic operations. The system tracks appointment status, services, therapists, and patient records in one place, while supporting scheduling and updates through a structured workflow. This module connects with the wider CareOS system so appointment data can feed follow-ups, patient intelligence, and automation workflows.
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Viral Waghela
Built an approval-first automation layer inside LeadLens CareOS to handle repetitive clinic workflows without giving AI unrestricted control. The system can prepare actions for inactive-patient recovery, package renewals, and business-growth workflows, then route them for review before anything external is executed. The focus was on combining AI, business rules, workflow automation, and human oversight into a system that is useful in real operations—not just a standalone chatbot.
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Viral Waghela
LeadLens CareOS combines CRM workflows, AI-powered insights, and approval-first automation. These screens show patient management, prepared AI actions, and operational dashboards designed to reduce repetitive admin while keeping humans in control.
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