AI Engineer · Machine Learning · LLMs · Computer Vision
I'm an Artificial Intelligence student at the University of the Basque Country (UPV/EHU) focused on building and evaluating machine learning systems in real-world scenarios.
My work centers around:
- Machine Learning Systems — end-to-end pipelines, training and evaluation
- LLM Evaluation — truthfulness, reliability, prompting strategies
- Computer Vision — object detection, model comparison
I'm particularly interested in model behavior, evaluation, and reliability under real-world conditions.
I'm currently looking for AI Engineering internships or collaborations.
Languages
ML / DL Frameworks
Data & Notebooks
Tools
Optimization of graph partitioning using GRASP, Simulated Annealing and Genetic Algorithms.
- Compared solution quality and computational cost
- Analyzed convergence behavior across algorithms
- Implemented all methods from scratch
Optimization Heuristics Python
Fine-tuning diffusion models for personalized image generation.
- Prompt-based identity control using custom token
- Built FastAPI backend for generation pipeline
- Integrated external APIs (Replicate)
Diffusion Models Computer Vision FastAPI
Evaluation pipeline to measure LLM truthfulness and informativeness.
- Built few-shot + LLM-as-a-judge framework
- Multilingual evaluation (Spanish / Basque)
- Compared base vs instruction models
LLMs Evaluation Prompting
Object detection pipeline comparing CNN and Transformer-based models.
- Trained and evaluated on MPII dataset
- Compared RT-DETR vs CNN baselines
- Performed qualitative and quantitative analysis
Computer Vision Object Detection Transformers
Agent-based system integrating tools and reasoning workflows.
- Multi-step reasoning with tool usage
- Integration with external knowledge sources
- Response synthesis pipeline
LLMs Agents LangChain
- LLM evaluation and reliability
- Applied computer vision systems
- Optimization methods
I'm open to collaborations, internships, or interesting AI projects.
email: aitormilikua@gmail.com