Hi, my name is Nicolás Aller Ponte
Data Science & Engineering Student.

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About me

Nicolás Aller Ponte

I'm a Data Science & Engineering student at Universidade da Coruña and Research Assistant at the Inditex-UDC AI Chair in Green Algorithms, where I develop feature-selection systems for AI models. I've also worked as an AI Engineer at Gradiant, building computer vision pipelines for car damage detection.

My stack spans the full data lifecycle — from HPC and parallel computing (C/C++, CUDA, MPI) to deep learning (PyTorch, TensorFlow), data engineering (Spark, SQL, Docker, AWS/GCP), and NLP/Computer Vision.

CV

Projects

Outfit Intelligence — HackUDC 2026 🏆

Double award-winner at HackUDC 2026 (1st Best Open Source AI, 2nd Inditex-Tech). Multi-layer visual search pipeline with YOLOv8, SigLIP-384 & DINOv2 ensemble over 27k+ fashion products, served via FAISS + FastAPI.

Local A2A DevHouse

An AI agentic software house built with AutoGen. It features multiple specialized agents (CEO, CTO, Lead Engineer, etc.) that collaborate to autonomously design, implement, and review software projects locally.

SmartPorts Ship Classification

Port CCTV image classification for ship detection and docking status using CNN and ResNet18 with stratified K-Fold cross-validation. Trained on real port imagery datasets.

MatrixLens

Cache-aware audit tool for matrix multiplication kernels. Simulates L1 cache behavior (LRU, set-associative) to visualize how tiling strategies eliminate cache misses in high-performance computing.

Check out more of my work on GitHub

GitHub Profile

Awards

On March 1, 2026, we presented our project at HackUDC for the InditexTech challenge. Following a stellar presentation before the Inditex team and GPUL, we were honored with the 1st Prize for Best Use of Open Source AI and the 2nd Prize in the Inditex-Tech Challenge.

🥇 1st Prize — Best Open Source AI
🥈 2nd Prize — Inditex-Tech Challenge

Contact

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