AI/ML Engineer | NASA Researcher | LangGraph Specialist

Gianluca B.

I studied Computer Science at Florida Atlantic University specializing in high-performance AI orchestration and scalable system architecture. My background as a NASA L'SPACE Academy AI Systems Research Lead involved architecting fault-tolerant sensor platforms and designing HAL/compression protocols for deep-space mission constraints.

I specialize in teaching students how to move from basic scripts to production-grade AI agents. My portfolio includes engineering an autonomous lead generation pipeline that processed 14,000+ leads using LangGraph, LangChain, and LangSmith, achieving a 70% reduction in API costs through intelligent selective processing.

My Technical Tutoring Expertise:

Artificial Intelligence & ML: Building multi-agent systems with LangGraph, implementing ensemble methods (XGBoost, LightGBM), and designing autonomous SOC agents for cloud-native security.

Core Programming (Python & Java): Mastering async/await patterns, FastAPI/Flask backends, and efficient data processing.

Computer Science Foundations: Cracking technical interviews using advanced LeetCode patterns including sliding windows, hashmaps, and tree traversals.

Full-Stack & Systems: Architecting scalable infrastructures with Proxmox, React, and Supabase.

I am also a published researcher in fault-tolerant multi-agent orchestration, demonstrating performance improvements in parallel security pipelines. Whether you are a student struggling with complex algorithms or a developer building your first AI agent, I provide hands-on, live-coding sessions that turn abstract theory into 'cracked' results.

Let’s skip the lectures and build something real. Book a session and let’s get to work!