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eblancocabana/README.md

Endika Blanco Cabana

Junior ML/AI Engineer focused on LLM training, AI systems, and data engineering.

I am finishing a double degree in Computer Engineering and Data Science / Artificial Intelligence at the University of Deusto. My strongest technical direction is AI systems for constrained hardware: native PyTorch training loops, low-VRAM LLM fine-tuning, LoRA/quantization, Triton kernels, benchmarking, and reasoning-model evaluation.

Experience

Junior Data Engineer - Lantek
Bilbao, Feb 2024 - Jun 2025

Worked on industrial analytics and ETL pipelines using PySpark, Databricks, SQL, Delta Lake, Docker, Azure DevOps, CI/CD, Git, and Jira.

Current Focus

  • Low-VRAM LLM fine-tuning with PyTorch, LoRA, quantization, and Triton.
  • GRPO-style reasoning-model training and evaluation.
  • Semantic-entropy methods for curriculum design and selective training.
  • Systems work in C/C++, Python, CUDA-oriented tooling, and benchmarking.

Main Project

Native PyTorch training and evaluation stack for GRPO-style reasoning-model fine-tuning on constrained NVIDIA GPUs. It includes manual LoRA adapters, 4-bit model loading, entropy-based selective backpropagation, SENT curriculum support, OOM recovery, Triton kernels, profiling tools, and reasoning benchmarks.

Portfolio

I keep a compact technical portfolio with project case studies for public, private, and academic work:

Other Public Work

C/C++ client-server project for nightclub event management, built with Winsock, SQLite, and a console-based workflow for tickets, reservations, users, and administrator operations.

Role Fit

  • ML Engineering
  • Applied AI Engineering
  • LLM / GenAI Engineering
  • AI Infrastructure / ML Systems
  • MLOps or ML Platform
  • Data Engineering roles close to ML/data pipelines

Technologies

Python, PyTorch, Hugging Face tooling, Triton, CUDA-oriented workflows, PySpark, Databricks, SQL, Delta Lake, C, C++, Java, Linux, Git, Docker, benchmarking, and ML evaluation pipelines.

Contact

Pinned Loading

  1. grpo-training-engine grpo-training-engine Public

    A native PyTorch GRPO engine for training small reasoning models on consumer GPUs, built to study efficient low-VRAM training and semantic-entropy methods for improving mathematical reasoning.

    Python 1