I'm a Frontend & Fullstack developer with an engineering background. My day job is aircraft flammability engineering under strict compliance — the same discipline goes into the code and workflows I ship for clients. I build the whole product stack, from AI automation up to the UI you actually see.
3+
Years shipping code
6+
Projects shipped
∞
Curiosity
Frontend & UI
HTML5
CSS3
JavaScript
TypeScript
React
Next.js
Tailwind
GSAP
Framer Motion
Three.js
Figma
Canva
Fullstack & Ops
Node.js
Postgres
MySQL
MongoDB
Supabase
Firebase
Vercel
Git
AI Automation & Bots
Make
n8n
Zapier
Flowise
Ollama
LLM tool-calling
Telegram Bots
Automation
AI Automation Portfolio
Working examples from my own ops, plus patterns I can turn around fast for a team.
Email Triage → Telegram Digest
Shipped
Make.com workflow watching my Gmail. New messages get scored for importance by an LLM (using custom rules per sender/domain). High-priority mail gets a one-paragraph summary and lands as a push notification in my personal Telegram bot.
Outcome: Cuts ~50 emails/day down to 3-5 push-worthy ones in Telegram.
Stack
Make.comGmail APILLMTelegram Bot API
Custom Telegram Assistant Bot
Shipped
Personal assistant bot for quick queries, scheduled reminders, and pushing scripted notifications from other workflows. Ships with a small command surface plus free-text handling routed through an LLM.
Outcome: Everyday interface for personal automation — one channel, all the ops.
Stack
Node.jsTelegram Bot APILLM
Flowise + RAG Internal Knowledge Base
Ready to build
Ready-to-deploy pattern for internal knowledge bases: docs ingested into a vector store, Flowise chains for retrieval + LLM answer synthesis, Slack / Telegram / web frontends. Aimed at teams that keep answering the same 20 support questions.
Outcome: Ready to deploy — no live public instance to link.
Stack
FlowiseVector DBLLMSlack / Telegram / Web
Multi-platform Business Workflows
Ready to build
Make / n8n / Zapier orchestrations that connect the tools a small team actually uses: Google Sheets, forms, CRMs, email, Slack, Notion. Combined with LLM steps for classification, enrichment or summarisation.
Outcome: Ready to build against a specific team's stack — happy to walk through examples on a call.