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
Citigroup — Enterprise AI Transformation
Roberto defined and executed the enterprise-wide GenAI adoption strategy at Citigroup. He established AI governance, responsible AI practices, and a scalable architecture roadmap. He spearheaded the deployment of advanced RAG pipelines and custom MCP server infrastructures, drastically reducing latency and automating research workflows for quantitative teams.
Quantitative Expertise (T3 Trading & Beyond)
With over two decades of quantitative 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 Quant 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 →