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I'm Adam Mario, AI automation engineer specializing in n8n workflow orchestration and multi-agent AI systems. I design and build intelligent automation architectures from scratch — including a production multi-agent system with AI routing, full RAG pipeline (chunking, OpenAI embeddings, Supabase vector store), and a Telegram conversational interface. I don't just connect nodes — I architect systems that think, route, and retrieve. My background in algorithmic trading and ML gives me an edge most automation developers don't have: I understand data pipelines, model behavior, and business logic at a deep level — which means the systems I build are robust, not fragile.…I'm Adam Mario, AI automation engineer specializing in n8n workflow orchestration and multi-agent AI systems. I design and build intelligent automation architectures from scratch — including a production multi-agent system with AI routing, full RAG pipeline (chunking, OpenAI embeddings, Supabase vector store), and a Telegram conversational interface. I don't just connect nodes — I architect systems that think, route, and retrieve. My background in algorithmic trading and ML gives me an edge most automation developers don't have: I understand data pipelines, model behavior, and business logic at a deep level — which means the systems I build are robust, not fragile.

Adam Mario

Data Scientist, AI Engineer, Programmer, +1

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I'm Adam Mario, AI automation engineer specializing in n8n workflow orchestration and multi-agent AI systems. I design and build intelligent automation architectures from scratch — including a production multi-agent system with AI routing, full RAG pipeline (chunking, OpenAI embeddings, Supabase vector store), and a Telegram conversational interface. I don't just connect nodes — I architect systems that think, route, and retrieve. My background in algorithmic trading and ML gives me an edge most automation developers don't have: I understand data pipelines, model behavior, and business logic at a deep level — which means the systems I build are robust, not fragile.…I'm Adam Mario, AI automation engineer specializing in n8n workflow orchestration and multi-agent AI systems. I design and build intelligent automation architectures from scratch — including a production multi-agent system with AI routing, full RAG pipeline (chunking, OpenAI embeddings, Supabase vector store), and a Telegram conversational interface. I don't just connect nodes — I architect systems that think, route, and retrieve. My background in algorithmic trading and ML gives me an edge most automation developers don't have: I understand data pipelines, model behavior, and business logic at a deep level — which means the systems I build are robust, not fragile.

Available to hire

I’m Adam Mario, AI automation engineer specializing in n8n workflow orchestration and multi-agent AI systems.
I design and build intelligent automation architectures from scratch — including a production multi-agent system with AI routing, full RAG pipeline (chunking, OpenAI embeddings, Supabase vector store), and a Telegram conversational interface. I don’t just connect nodes — I architect systems that think, route, and retrieve.
My background in algorithmic trading and ML gives me an edge most automation developers don’t have: I understand data pipelines, model behavior, and business logic at a deep level — which means the systems I build are robust, not fragile.

Skills

Experience Level

Expert

Expert

Expert

Expert

Intermediate

Work Experience

Algorithmic Trading Developer at Aladin System

January 1, 2022 - Present

Built an end-to-end algorithmic trading system for QQQ/NQ futures, from raw data ingestion to signal generation and backtesting. Engineered a 41-feature data pipeline stored in SQLite covering M1/H1/H4 timeframes: ICT levels, Fair Value Gaps, SMT divergence, Volume Profile, displacement detection. Trained an XGBoost multi-class classifier (LONG/SHORT/WAIT) on 4+ years of intraday data with custom labelling logic. Integrated quantum-inspired variational circuits (PennyLane, 8 qubits) for market regime detection and conviction scoring. Designed hybrid 5-source scoring engine: ML prediction (40%), ICT confluence (30%), quantum edge (15%), relative strength QQQ/SPY (10%), orderflow imbalance (5%). Built real-time Streamlit dashboard for signal monitoring, backtesting visualisation, and trade journal. Conducted systematic diagnostic backtests across 90+ simulated trades; identified and resolved ML feature mismatch bug causing model fallback.

Active Daytrader at Independent (Self-employed)

January 1, 2019 - Present

4+ years of active intraday trading on NQ (Nasdaq futures), ES (S&P; 500 futures), XAU (Gold) and BTC. Specialized in ICT methodology: liquidity draws, order blocks, fair value gaps, and market structure shifts. Discretionary edge developed through live market experience became the analytical foundation for the Aladin automated system.