Hi, I'm
Systems engineer designing scalable architectures, building intelligent systems, and securing digital infrastructure.
$ whoami
daniel_ahumada
$ cat focus.txt
Software Architecture | AI Engineering | Cybersecurity
$ cat status.txt
open_to_opportunities = true
$ _
I'm a systems engineer focused on three core pillars: software architecture, artificial intelligence, and cybersecurity. I design and build scalable distributed systems, implement intelligent solutions with machine learning, and secure digital infrastructure.
My work spans from microservices architectures with Spring Boot and Kafka, to deep learning research with TensorFlow, to security implementations and observability stacks. I'm passionate about building systems that are not just functional, but architecturally sound, intelligent, and secure.
Microservices, distributed systems, event-driven architectures, API design, scalability patterns
Machine learning, deep learning, neural networks, computer vision, predictive modeling
Security operations, threat analysis, SIEM, authentication, secure coding practices
Java, Spring Boot, Node.js, TypeScript, PostgreSQL, Kafka
React, TypeScript, responsive design, modern UI/UX
AWS, Azure, Docker, CI/CD, observability, monitoring
Conducted systematic experiments on convolutional neural network behavior using TensorFlow. Tested kernel sizes (3x3, 5x5) and layer depths to analyze feature extraction patterns. Achieved 81.11% validation accuracy with optimal 3x3 configuration.
Designed a distributed microservices platform for university tournament management. Built Spring Boot services for authentication, users, teams, and tournament logic, integrated with a React frontend. Team collaboration project.
Predictive model analyzing financial market patterns and investment opportunities using historical trading data and ML algorithms.
ML model for cardiac risk assessment using clinical data and predictive algorithms for healthcare applications.
Data science project analyzing stellar luminosity patterns using machine learning and astronomical data analysis.
Java game with AI-driven opponents featuring A* pathfinding, collision detection, and dynamic difficulty progression.
Escuela Colombiana de Ingeniería Julio Garavito. Focus on software architecture, AI, and cybersecurity. Graduating May 2027.
Built predictive models across healthcare, finance, and astronomy. Best result: 81.11% accuracy on CNN research with optimized kernel configuration.
Software Engineering / AI / Cybersecurity internships for 2027. Open to remote and international opportunities.
I'm open to internships, collaborations, and new challenges. Whether you have a question or want to work together, feel free to reach out!