Alejandra Rojas Garzón, also known as María Alejandra Rojas Garzón, is a Tech Lead - ML & AI Engineer Senior at Banco de Crédito BCP. With approximately 6 years of experience, her background includes studies in fields such as Inteligencia Artificial, Ciberseguridad, Ciencia de datos, and Ingeniería de Sistemas y Computación from institutions including Universidad de Los Andes and Universidad Nacional de Colombia. Her current role aligns with that of an AI Engineer focusing on Machine Learning and Models. She is located in Bogotá, D.C., Colombia.

ML, AI, DL, Visión pot computador

Leading credit-risk ML initiatives at Banco de Crédito BCP. This involves designing, implementing, and deploying production Machine Learning and Deep Learning models using Python, leveraging backend development (Django/APIs), and automation for operational systems.

I'm a Full-Stack Engineer who builds systems that work with AI, not just use it. For the past three years, I've worked with NBCUniversal, Sony Pictures, and Netflix building scalable applications with Ruby on Rails, Angular, NestJS, and React. My focus has always been on clean architecture and test-driven development — creating systems where developers and AI can actually collaborate. Here's what drives me: the future of software isn't just about using AI tools. It's about designing architectures that AI can understand and work within. Clear contracts, predictable flows, minimal overhead. Systems where both humans and machines do their best work. I think in systems, not just features. Right now I'm building domain-specific agents and orchestration layers for production use — real AI i

AI Agent Orchestration & Organic Integration: I'm deeply passionate about learning advanced techniques for orchestrating multi-agent systems that can seamlessly navigate between frontend and backend layers. My goal is to build intelligent "reasoning brains" that integrate organically into applications—not just as isolated features, but as adaptive systems that truly assist users by understanding context across the entire application stack. I'm particularly interested in connecting with engineers

I'm currently tinkering with my Environmental Engineering thesis—a multi-tier waste classification system that's become my live laboratory for AI-orchestrated architecture. I'm integrating Roboflow's computer vision models with multiple LLMs (GPT-4, Gemini) through a FastAPI orchestration layer, all tied together with a Rails backend following Clean Architecture and DDD principles, plus a React frontend built with Atomic Design.

Soy Jeff, estudiante de cuarto semestre de Física en la Universidad Nacional de Colombia, sede Bogotá, con interés en física teórica de campos y de partículas. Trabajo profesionalmente con ciencia de datos y programación, usando principalmente Python para desarrollar soluciones basadas en datos e inteligencia artificial. Recientemente obtuve el cuarto lugar en la hackatón Young AI Leaders 24h en Bogotá. En mi tiempo libre practico simracing en iRacing, donde he competido en ligas, y disfruto de la música metal y clásica, así como de historias de ciencia y ciencia ficción en libros, cine y videojuegos como la saga Souls.

Investigación

Actualmente trabajo con ciencia de datos en finanzas y tengo proyectos creativos en desarrollo de videojuegos y simulación.