
AI Automation & Workflow Engineer | n8n Specialist | AI Agents | LLM Integration | Data Analytics
I design and build AI agents, chatbots, RAG systems, and multi-step n8n & Make workflows that connect CRMs, databases, and business tools โ automating lead management, customer support, reporting, and content operations. 14+ years in MIS & Data Analytics, now focused on AI Automation and Workflow Engineering.
Management Information Systems (MIS) and Data Analytics professional with 14 years of Telecom experience, now transitioning into AI Automation and Workflow Engineering. Over the past two years I've self-trained intensively in this field and built hands-on, self-initiated projects โ AI agents, AI chatbots, and multi-step n8n and Make workflows that connect CRMs, databases, and business tools through REST APIs and webhooks to automate lead management, customer support, reporting, and content operations.
I'm comfortable working with OpenAI, Claude, and Gemini APIs, prompt engineering, Airtable data models, error handling, and workflow documentation โ and I keep deepening these skills through practical builds. My MIS background brings genuine strength in process mapping, data quality, and business reporting: understanding which process is worth automating and how to measure the result.
I'm seeking my first professional role in AI Automation and Workflow Engineering โ or freelance and contract projects where I can apply this hands-on experience โ and grow quickly within a team.
I map and re-engineer the manual process before automating it โ targeting the highest-effort, highest-error steps first.
Error handling, retries, deduplication, validation, and Telegram failure alerts built into every workflow.
Inline approval steps for AI-drafted actions, so nothing ships without review where judgment matters.
Every workflow ships with documentation so the team can run, monitor, and extend it independently.
Fourteen years of MIS & data analytics, plus two years building AI automation hands-on.
The AI models, automation platforms, and data tools I use to build reliable, production-grade solutions.
Real, hands-on AI automation and data analytics builds โ not demos.
A two-agent CRM automation with autonomous decision-making. A daily outreach agent pulls new and follow-up-due leads from Airtable, researches each company, and independently decides whether to send a personalised cold email or skip a low-confidence lead. A second agent checks Gmail every four hours, reads replies for actual intent, and escalates to a human via Telegram only when judgment is genuinely needed.
A two-workflow RAG system: an ingestion pipeline that chunks, embeds, and stores company documents in a Postgres vector database with document-level idempotency, and a Q&A pipeline that retrieves top-K relevant chunks, validates retrieval sufficiency, and produces answers grounded strictly in retrieved context.
A B2B lead qualification engine scanning five public signal sources โ job boards and Hacker News discussions โ for businesses showing real operational automation pain. A keyword pre-filter runs before any AI call, then a two-stage Gemini pipeline scores each lead against a 7-factor, 100-point rubric, with a second "skeptical auditor" model able to veto the verdict.
An AI email triage system that classifies every incoming email into three tiers โ promotional (auto-archived), important (Telegram FYI), or needs-reply (drafted and routed for approval) โ using a Gemini agent constrained to strict JSON output, with a one-tap Telegram approval card dispatching the reply via Gmail.
A multi-tenant n8n workflow supporting multiple WhatsApp clients without separate deployments. Incoming messages resolve to a client by WhatsApp number, dynamically pulling that client's system prompt and knowledge base from Supabase at runtime โ answering strictly from the client's own data.
A fully automated content pipeline that monitors RSS feeds, rewrites content using an LLM chain, and publishes simultaneously to Instagram, LinkedIn, and Facebook โ with images and comments โ zero manual work required.
A comprehensive Power BI dashboard built with AI assistance โ covering Total Sales, Cost, Profit, and regional breakdowns across segments and sub-categories. AI was used to structure the data model, generate DAX measures, and recommend the most insightful visualisations.
A fully automated Excel dashboard with multi-dimensional filtering by Month, State, Product, and Sales Method. Built with AI assistance for formula generation, chart selection, and layout optimisation โ turning raw data into an executive-ready report in minutes.
Verified credentials from Coursera, Google, Microsoft, upGrad, and Ira Skills.
Open to full-time AI Automation / Workflow Engineering roles, and freelance or contract n8n & AI agent projects. Reach out โ no sales pitch, just an honest conversation.