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AI-Powered Algorithmic Trading Platform — AI Systemics
Built core technology infrastructure for AI Systemics — an AI company developing intelligent solutions that bring institutional-grade capabilities to everyday users. Primary focus on their flagship product, Quanntick™, an AI-powered algorithmic trading platform that brings institutional-level trading to individual investors.
Developed the machine learning pipeline powering real-time market analysis and signal generation — processing live CME Group licensed market data, running predictive models, and executing automated trading strategies on futures markets with precision and speed. Built the performance tracking dashboard giving users transparent visibility into trade execution, strategy performance, and portfolio metrics in real-time.
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Hi Contra, I'm Thiago, an AI engineer from Brasília, Brazil.
This is Galley Brain, the multi-agent system I run on my own VPS. Each agent owns an area (finance, schedule, operations) and takes real actions through MCP connectors, with Telegram and voice as the interface. It started as my personal assistant and is turning into a product for restaurant owners.
I build RAG systems, AI agents and n8n automations for real operations. If you're working on something similar, let's connect.
Giving each agent a clear area makes Galley Brain easier to follow as it starts taking real actions. I'd add one approval screen that shows what each agent plans before it can change money, schedules, or customer records.
LeadOps Pipeline & AI Analytics
Goal: Automate lead qualification, scale QA coverage from 15% to 100%, and eliminate 3 hours of manual weekly reporting.
Solution: Designed a multi-agent n8n architecture with autonomous tool-calling and Redis memory. Built 3 AI personas: an empathetic Sales Agent capturing Zoho CRM leads, a strict QA Inspector analyzing chat histories into Google Sheets, and a Monitoring Agent delivering Telegram summaries.
Impact: Saved 45+ team hours monthly. Increased conversions by 35% via 2-second AI responses. Cut reporting time from 3 hours to under 1 minute.
TypeSafe AI: Deterministic Agent Runtimes & Structured LLM Decisions. Transforming natural language into strictly-typed primitives and state-machine transitions with zero hallucinations. Built in TypeScript & Python. #AIEngineering #TypeScript #Python #LLM #Automation
