Built the end-to-end AI pipeline for an agent-driven platform focused on enhancing human relation...

Built the end-to-end AI pipeline for an agent-driven platform focused on enhancing human relation...Built the end-to-end AI pipeline for an agent-driven platform focused on enhancing human relation...

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ARHAAN

• 1d

Built the end-to-end AI pipeline for an agent-driven platform focused on enhancing human relationships through conversational systems.

Engineered a multi-agent architecture that processes inputs, routes them through specialized agents, and generates real-time, context-aware responses with conversation memory and dynamic decision-making.

Enabled users to interact with agents directly via WhatsApp, turning a familiar messaging platform into a seamless AI interface.

Focused on scalability, low-latency performance, and reliability to ensure smooth interactions at scale.

The result is an engaging system that brings advanced agent capabilities into everyday communication.

AI Engineer Full Stack Development LangChain Supabase Twilio

Blessing Agandu

• Mar 13

AI-Powered Outreach Automation (n8n)

Built a workflow that turns outreach into a structured pipeline.

The system: • Pulls verified leads from Supabase • Uses AI to generate personalized emails • Sends outreach via Gmail • Monitors replies and analyzes sentiment • Routes responses automatically (book meeting, review, or archive) • Sends follow-ups if there’s no reply after 48 hours

Result: a fully automated pipeline that moves leads → conversations → booked meetings.

Designed for creators, agencies, and teams running outbound outreach at scale.

N8N Supabase AI Automation Low-Code/No-Code Development Business Workflow Automation Gmail

Abhiram Tinguria

• Mar 13

Nice workflow. Using AI to personalize outreach and track replies in one pipeline is really useful.

Peter Chinaka

pro

• Mar 13

Built a full-stack AI automation system that transforms how the company responds to RFPs.

Users upload RFP documents (PDF/Excel) through a web portal. An n8n pipeline processes the upload: AI parses the document to extract key fields (issuer, scope, budget, deadline), classifies the service line, matches content from an Airtable library (team bios, references, portfolio), and generates 80-90% complete proposal drafts with cover letter, company overview, technical approach, and more. Output is a formatted Word document ready for review.

Results: ✅ Reduced proposal creation from 4-6 hours to under 30 minutes ✅ 90% auto-complete rate on proposal sections ✅ 14+ RFPs processed through the pipeline ✅ Full proposal dashboard with status tracking

Tech: n8n, OpenAI, Airtable, Vercel, Webhooks

AI Automation N8N Project Management Business Workflow Automation Airtable Google Gemini

Abhiram Tinguria

• Mar 13

This is a really interesting automation workflow, Peter. Using AI to parse RFPs and streamline proposals is a smart use case.

Vinta Kumari

• Mar 13

AI-Powered Social Media Growth SaaS Dashboard UI/UX

Designed an AI-powered social media growth platform that helps creators and brands analyze performance, generate content ideas, automate posting, and track engagement metrics. I structured a data-driven dashboard that simplifies analytics, AI insights, scheduling tools, and growth recommendations into a clear workflow. Delivered responsive high-fidelity UI in Figma with scalable components optimized for SaaS expansion.