I build practical AI-powered automation workflows and AI agent solutions that connect AI models, business tools, APIs, and data to reduce repetitive work and improve productivity.
I have completed 15+ hands-on projects. Selected projects are documented below with workflows, architecture diagrams, and test evidence.
- 💼 Currently an AI Automation Intern at Big Brains, working with n8n
- ⚙️ Building with n8n, Make.com, and Zapier
- 🧠 Working with OpenAI, Claude, Gemini, RAG, MCP, and Retell AI to build AI agents for WhatsApp, voice, and email
- 🔗 Integrating apps with REST APIs, Webhooks, and OAuth
- 📚 Learned through structured courses and hands-on building, testing, and documenting
- 🌍 Open to remote, hybrid, freelance, and project-based work, local and international
- 📍 Based in Dhaka, Bangladesh
n8n • Make.com • Zapier • JavaScript (n8n Code Node) • Human-in-the-Loop Workflows
OpenAI (GPT & Vision) • Claude • Gemini • OpenRouter • AI Agents & Tool Calling • RAG & Vector Search • MCP • Retell AI (Voice AI)
REST APIs • Webhooks • OAuth / API Authentication • WhatsApp Cloud API • Facebook Graph API • Web Scraping (Apify) • API Testing (Bruno)
Supabase (PostgreSQL & Vector Store) • SQL • Airtable • Cloudinary
Google Workspace • Slack • Microsoft Excel
Currently, I am focused on:
- Building end-to-end AI automation workflows for real business use cases
- Developing AI agents for WhatsApp, voice, and email customer conversations
- Connecting AI models with business tools, databases, and APIs
- Improving RAG and MCP-based integrations
- Documenting and publishing my projects on GitHub
A WhatsApp AI sales agent built from a prospective denim wholesale client's real requirements. It answers wholesale inquiries, sends a 120-design catalog in batches, recognizes products from buyer screenshots, bargains within database-controlled limits, calculates exact orders with SQL, and logs qualified leads in Airtable.
Tech: n8n • Meta WhatsApp Cloud API • OpenAI (Vision) • Supabase PostgreSQL • Airtable • Cloudinary
Highlights: 2 connected workflows • Screenshot-to-product recognition • End-to-end demo test: 8 bundles, TK 115,600 (demo data)
Independent portfolio project — not commissioned, paid, or client-delivered.
An AI voice receptionist prototype that answers course questions, checks class schedules, captures leads, books consultations in Google Calendar, sends email confirmations, escalates to a human, and logs every call.
Tech: Retell AI • MCP • n8n • Google Sheets • Google Calendar • Gmail • Webhooks
Highlights: 9 n8n workflows • 7 MCP tools for the voice agent • Tested with Retell simulation and Bruno
Learning project based on an Ostad Academy scenario — not an official Ostad Academy system.
A no-code lead capture and CRM workflow that cleans form data, detects new vs. returning leads, logs every inquiry in Google Sheets, sends a personalized auto-reply, and routes high-priority leads to Slack and a Google Calendar follow-up.
Tech: Zapier • Google Forms • Formatter by Zapier • Google Sheets • Gmail • Paths by Zapier • Slack • Google Calendar
Highlights: 15-step Zap, 7 apps, 0 lines of code • Priority and fallback routing • 3/3 end-to-end tests passed
Receives Facebook Page comments through Meta Webhooks, uses AI to check whether the commenter really wants the campaign resource, and then sends it by private Messenger DM with a short public reply. Unrelated comments get no reply.
Tech: n8n • Meta Webhooks • Facebook Graph API • Google Sheets • AI Intent Classification • JavaScript • HTTP Request
Highlights: Webhook verification and event filtering • Structured AI output for reliable routing • Positive and negative tests documented
A webhook-driven research workflow that fetches news on any topic, summarizes and scores each article with an LLM, saves the results to Google Sheets, and returns the top 3 stories as JSON.
Tech: n8n • GNews API • OpenRouter • Google Sheets • Webhooks • JavaScript
Highlights: Structured Output Parser • Custom JavaScript ranking • Tested with Bruno
Scrapes Dubai rental listings with Apify, cleans them with AI, stores them in Airtable, and exposes the data through an MCP server so an AI assistant can answer questions like budget, location, latest, and cheapest listings.
Tech: n8n • Apify • Airtable • OpenAI • MCP • HTTP Request
Highlights: 3 connected workflows • 7 MCP tools • Upsert by listing URL to avoid duplicates
Builds a product knowledge base from a PDF in Supabase Vector Store, drafts replies to customer emails with an AI agent using that knowledge, and sends each reply only after a human approves it.
Tech: n8n • Gmail • Google Drive • AI Agent • Supabase Vector Store • RAG • Embeddings
Highlights: PDF chunking and embeddings • Retrieval-grounded replies • Human-in-the-loop approval
Processes Google Form assignment submissions: cleans the data, detects duplicates, routes valid, invalid, and duplicate cases, creates a Drive folder and Docs summary per student, emails students and the instructor, and updates the status sheet.
Tech: Make.com • Google Forms • Google Sheets • Google Drive • Google Docs • Gmail
Highlights: Three-route validation • Automatic folders and documents • 5 test cases documented
- 🌐 Portfolio: automation-ai-jamil.lovable.app
- 💼 LinkedIn: S. M. Jamilur Reza Razib
- 📧 Email: jamilur0101@gmail.com