I am an AI & Full-Stack Developer specializing in building intelligent, production-ready systems that connect data, APIs, and modern web applications.
I work across the full development stack — from backend systems and APIs to frontend interfaces and automation workflows. My focus is on creating practical solutions that save time, reduce manual work, and scale easily.
What I can help you with:
AI-powered applications (LLM integrations, chatbots, agents)
Web automation workflows using n8n and custom Python scripts
Data extraction and web scraping (structured and large-scale)
Full-stack web development with Next.js and modern backend APIs
API integrations and system automation between platforms
SaaS MVP development and backend architecture
Tech stack:
Python, Next.js, Node.js, FastAPI, n8n, REST APIs, PostgreSQL, Docker, Web Scraping tools, OpenAI / LLM APIs
How I work:
I focus on building clean, scalable, and maintainable systems. I don’t just deliver code — I design workflows and architectures that are reliable in production and easy to extend.
If you need someone who can combine AI, automation, and full-stack engineering into real business solutions, I can help you build it.
Experience Level
Language
Work Experience
Education
Qualifications
Industry Experience
- Connects to MT5 (mock + live market data)
- Runs a pluggable signal → risk → execution loop
- Persists trades and bot events in PostgreSQL
- Exposes a FastAPI REST/WebSocket API
- Provides a Next.js dashboard for monitoring, backtests, and manual ops
- End-to-end bot workflow: simulation → demo → live readiness
- Risk engine with stop-loss and drawdown halt
- Backtest / replay tooling and live bot metrics
- Security-minded design (API keys, CORS, secrets handling)
Overview
Full-stack platform for MetaTrader 5: automated trading bot, risk controls, execution pipeline, and an operations dashboard.
What it does
Stack
| Layer | Tech |
|---|---|
| Backend | Python, FastAPI, PostgreSQL, MetaTrader 5 |
| Frontend | Next.js 15, React 19, TypeScript, Recharts |
| Ops | Docker Compose, pytest, GitHub Actions CI |
Highlights
Automates how to trade. Strategy edge and live validation determine results.
- Smooth end-to-end user flow: questionnaire → email verification → results
- Deterministic job ranking engine with sector-aware diversity (best job per sector under configurable thresholds)
- Top 10 job recommendations with sector labels and clear match explanations
- Systeme.io integration for lead capture and automated emails (contact creation + tagging)
- Admin dashboard to manage questionnaire content, job catalog (CSV → JSON), responses, and sector ranking settings
- Multi-tenant ready backend architecture with secure admin authentication
- Frontend: Next.js, React, TypeScript
- Backend: FastAPI (Python)
- Integrations: Systeme.io API, LLM providers (OpenAI / Gemini)
- Data: Job catalog scoring, Google Sheets / PostgreSQL flows depending on environment
Overview
Built a full-stack career interest assessment platform that guides users through a questionnaire, verifies their email, and returns personalized job recommendations with AI-generated explanations.
What I delivered
Tech stack
Outcome
Delivered a polished beta ready for real-user testing, with clear UX, reliable email automation, and a recommendation engine designed to stay coherent as the job database grows from ~40 to 200+ roles.
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