AI Automation Builder & Decision Systems Engineer
I build the last mile — where data insights become automated actions delivered to decision-makers via Slack, WhatsApp, or Telegram. Using n8n, OpenClaw, LLM APIs (Claude/GPT/Gemini), and Streamlit, I create end-to-end systems that deliver live business signals, not static reports.
Most data analysts stop at dashboards and reports. I build what comes after — the AI intelligence layer that interprets data, the n8n/OpenClaw workflows that automate delivery, and the multi-channel routing that gets the right signal to the right person at the right time.
Before tech, I spent 3+ years as Head of Business Operations managing 8+ business units, driving 30% month-over-month revenue growth through data-driven strategy. I also founded a platform connecting 40+ MSMEs during COVID. That operational experience is why I build systems focused on decisions and delivery — not just models and metrics.
n8n + OpenClaw orchestrated workflows with LLM intelligence layers — cron-triggered, event-driven, zero manual intervention
Chained AI agents that detect, diagnose, recommend, and report — using Claude, GPT, Gemini, and Groq APIs
Multi-channel signal routing to Slack, Email, WhatsApp, Telegram — stakeholders get intelligence, not dashboards
Statistical anomaly detection, risk scoring, demand forecasting — translated into actionable business signals
End-to-end AI automation systems — from data pipelines to stakeholder delivery. Every project is deployed, documented, and open source.
4-agent AI pipeline that monitors e-commerce revenue, detects statistical anomalies (Z-score, IQR), diagnoses root causes via dimensional analysis, generates prioritized action recommendations, and delivers structured reports to Slack + Email every morning — automatically, via n8n cron trigger through FastAPI.
End-to-end system combining a scoring engine with LLM-driven natural language Q&A (Groq/Llama 3.3) and automated stock risk alerts. Stakeholders ask questions like "which products need restocking?" and get instant, data-grounded answers.
Automated meeting processing pipeline: Gemini AI extracts summaries and action items with owners/deadlines/priorities, orchestrated via n8n webhook triggers. Zero manual intervention from recording to delivery.
Conversational AI assistant using RAG architecture that lets recruiters and collaborators explore my professional experience through natural language dialogue. Built with Gemini, Streamlit, and structured knowledge engineering.
End-to-end forecasting system at the store-department-time level. Forecasts reframed as operational decision signals with priority rankings and actionable recommendations for inventory planning.
Decision support system translating fragmented operational signals into interpretable risk scores. Decision-first approach: no black-box models, outputs are auditable and designed for planning conversations.
Looking for an AI automation builder who understands both the engineering and the business impact? I build systems that deliver live intelligence to stakeholders — not just dashboards that nobody checks.