Architecting
Intelligent Systems
Roberto builds custom AI agents, automated trading algorithms, and secure API integrations for the world's leading hedge funds and financial institutions.
Core Capabilities
Agentic AI & MCP
Designed and deployed enterprise-grade Model Context Protocol (MCP) architectures, orchestrating complex LLM operations to automate quantitative research and data parsing workflows.
RAG & LLM Integration
Engineered Retrieval Augmented Generation (RAG) pipelines enabling secure AI reasoning over proprietary financial data, regulatory content, and live market integrations.
Algorithmic Trading
Bespoke automated trading systems (Python, MQL5, NinjaScript, C#) with a history of generating highly profitable statistical arbitrage and execution algorithms.
Enterprise AI Leadership
Fractional CTO guidance for funds. Strategic roadmap delivery, team mentorship, AI security compliance, and responsible AI governance across business units.
Enterprise Leadership & Technical Prowess
Worldwide Banks — Enterprise AI Transformation
Across worldwide banks, Roberto defined and executed the enterprise-wide Agentic Gen AI ecosystem adoption strategy. He established AI governance and responsible AI practices, authored a scalable architecture roadmap, and led the spearheading of deployment for advanced RAG (Retrieval-Augmented Generation) pipelines and custom MCP server infrastructure — achieving drastic latency reduction and automating research workflows for quantitative teams.
Quantitative Expertise (T3 Trading & Beyond)
With over two decades of engineering, Roberto has built, backtested, and optimized trading algorithms across Stocks, Equity Options, and ETFs. His systems have achieved massive latency reductions and consistent multi-year performance using machine learning and statistical modeling.
Credentials & Stack
Languages: Python, C#, C++, SQL, JavaScript, MQL5, NinjaScript.
AI Ecosystem: LangGraph, LangChain, MCP, Google Gemini, Anthropic Claude, OpenAI, Ollama.
Certifications: 32 total professional certifications, including Harvard University (AI in Python), Anthropic (MCP Advanced, Building with Claude API), Google Launchpad (AI, Machine Learning, Data Science), and 6 AWS Certifications.
23+ Years of Engineering
Combining a rigorous engineering background with profound expertise in software development, Roberto Pereira Eisenlohr specializes in bridging the gap between complex financial algorithms and robust artificial intelligence. His work powers prop firms, banks, and signal providers globally.
View his technical portfolio at ABFS Tech →Send a Message
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