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. Since May 2026 I work as a freelance developer, building SGAR — a product that automates Sergas prescription handling in pharmacies — and I am an Inditex Tech Ambassador, representing Inditex Tech at universities and tech events. Previously, I was a Research Assistant at the Inditex-UDC AI Chair in Green Algorithms (until March 2026), developing feature-selection systems for AI models, and before that I interned 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.

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Projects

SGAR — Sergas Prescription Automation

My first product as a freelance developer (since May 2026). End-to-end system that automates Sergas prescription handling in pharmacies, replacing a multi-hour daily manual workflow. Built iteratively with the pharmacist as end user — discovery meetings, an on-site technical visit and weekly UX adjustments — with strict LOPD compliance for medical data (anonymous logging, no personal health information stored). Production deployment planned for 2026.

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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.

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LocalFold — Impacthon 2026 🥈

2nd Prize at GDG Challenge (Impacthon 2026). Web portal for protein structure prediction via AlphaFold2 without HPC expertise, featuring interactive 3D visualization (Mol*), PAE heatmaps and pLDDT confidence coloring. Multi-agent A2A system with 4 specialist agents powered by Gemini 2.5 Flash, deployed on Google Cloud Run.

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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.

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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.

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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

In April 2026, we competed at the GDG Challenge (Impacthon 2026) with LocalFold — a web platform for protein structure prediction using AlphaFold2, a multi-agent A2A system powered by Gemini 2.5 Flash, and deployment on Google Cloud Run. We were awarded 2nd Prize.

🥈 2nd Prize — GDG Challenge (Impacthon 2026)

I was selected to join the Inditex Tech Ambassador Program as part of a group of young professionals, helping share Inditex Tech's innovation vision and building bridges with universities and emerging tech talent.

🌟 Inditex Tech Ambassador
Inditex Tech Ambassador Certificate

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