Lorenzo Matheo Camargo, whose full name is Lorenzo Matheo Ferreira Camargo, is an AI Engineer (Specialist) and holds the title of Chief AI Officer at NeuroStack. He is also identified with the tinkerer role of AI Engineer (Application Development). Previously associated with Beyond Co., Lorenzo is located in São Paulo, São Paulo, Brazil, and has an inferred four years of experience. His education includes Fatec Ribeirão Preto.

I'm interested in Quantum Computing, AI Agents,AI, RAG, Fine-Tuning, Lora, QLora, AI Agents Framework and build robust and scalable solutions

Auditor de RAG (improving legal/regulatory RAG reliability) and Guardião Eleitoral (multi-agent deepfake/disinformation detection using Hugging Face ViT). This work involves architecting production multi-agent and RAG systems using Python, LangGraph, LangChain, FAISS, and deploying APIs on Azure/AWS.

Jairo Mendes is a Senior Software Developer at Órigo Energia, located in São Paulo, São Paulo, Brazil. He has approximately 6 years of experience and is currently employed, seeking mentors or advisors, and looking for investors.

seeking mentors / advisors, seeking investors

no projects mentioned

I am a behavioral neuroscientist, entrepreneur, and founder of NeuroStack — a deeptech company focused on building the cognitive and reasoning layer for AI agents in healthcare. I work at the intersection of neuroscience, AI engineering, and human behavior, developing neuro-inspired frameworks to optimize decision-making, sales performance, and communication. I have participated in AI hackathons and industry events in Brazil, contributing technical and applied insights despite coming from a non-traditional technology background.

Interested in developing AI agents that are smarter, more efficient, and aligned with human behavior. I aim to collaborate with developers and engineers to build neuromimetic models, cognitive flows, advanced RAG, vertical SLMs, and reasoning architectures. I want to deepen my work with Edge AI, context optimization, and new forms of AI applied to healthcare and human performance.

Cognitive Infrastructure for Healthcare AI Agents.

I’m a data scientist and investment consultant trying to automate my own quantitative research. Today I build multi-LLM systems in R that talk to more than 20 providers, benchmark models, and orchestrate them as “committees” to write research, marketing copy, and client reports for my firm, Senhor Mercado. I love turning scrappy prototypes into tools other people can use, from finance dashboards and backtesting frameworks to small robotics experiments with ESP32 and Orange Pi. I’m excited about open, hackable AI ecosystems and sharing what I learn with other tinkerers.

Quantitative trading, backtesting and strategy research, time-series analysis, portfolio optimization and visualization, data pipelines and ETL, R tooling and package development, Python and FastAPI web services, ML and generative AI integrations (OpenAI/HuggingFace), API-driven systems and integrations, futures data handling, execution tooling

genflow — R library integrating OpenAI/HuggingFace/OpenRouter for generative-AI flows; tradeplotr — R package for strategy visualization; backtestforge — R backtesting and execution tooling; brfutures — Brazilian futures data handlers; educo (Python) and portoedu_back — FastAPI backend. Active work: building backtests, data pipelines/ETL, ML integrations, API-driven execution and portfolio visualization.