Spain
Machine Learning Engineer | Computer Vision Engineer | 3D AI Professional skills: Programming: Python, C/C++ ML/DL: PyTorch, PyTorch Lightning, TensorFlow, DeepSpeed, scikit-learn CV: OpenCV; detection/segmentation (YOLO); classification; tracking; post-processing 3D/Geometry: Blender (CLI), trimesh, PyIGL/libigl, CGAL, PyVHACD; SDF-based segmentation; remeshing; mesh/point-cloud QA metrics Generative 3D: fine-tuning pipelines for Hunyuan3D-2.1, Microsoft TRELLIS; dataset curation; evaluation Edge/Deployment: ONNX; optimization & compilation for Hailo-8 (HAR/HEF, multi-context); quantization & calibration MLOps & Infra: Linux, Docker, Git; multi-GPU training; dataset/metrics automation Numerics: NumPy; basic MATLAB/MathCAD Key highlights: Built a reproducible ONNX → Hailo-8 segmentation pipeline (608×608 input, model patching, quantization, multi-context compile). Designed a 3D asset pipeline: mesh cleaning, part splitting (DBSCAN/SDF), remeshing, automated quality checks (custom mesh metrics). Hands-on with fine-tuning large 3D generative models; assembled datasets and evaluation suites for quality benchmarking. Main areas of interest: Computer Vision & 3D Vision; Generative 3D Edge AI / Embedded (Hailo-8 and similar) Automotive, Robotics, AR/VR, industrial CV
Leading ML direction: - Implementing 3D overlay on face algorithm - Training and improvement 3D mesh generator - Designing mesh assessment solution - Designing mesh retop solution - Improving body overlay solution - Implementing AI agent - Implementing LLM chat bot - Researching 3D solutions - Implementing detection and segmentation train/inference pipeline as agent
Leading Computer Vision direction - Segmentation improving research - Improving segmentation model - Designing defects segmentation solution - Deploying segmentation model on the Edge devices (Coral, Hailo) - Implementing C++ inference
Implementing different project - Medical instrument segmentation - Roof top segmentation and area calculation - Bottles detection - Paint defect detection - Film scans analysis -Tennis (Paddle) game sport analysis - Virtual TryOn implementation - Virtual logo on soccer field - Defect detection - Flask web service - Microbes colony counting - Autonomous FPV drone system
Working with 3D pointcloud Estimating 3D object parameters Implementing PDF OCR pipeline, shape detection Cables detection on pointcloud Object parts detection Segmenting pointcloud
Machine Learning Engineer - Technical leading team work, mentoring newcomers and trainees. - Preparing requirement specification based on customer information. - Coordinating and reporting project status with the customer. - Design and implementation pipeline for 3D box estimation - Migrating pipeline to TensorRT core - Creating automation system for factory production analysis - Creating sport radar systems via ML algorithms (improving detection of small objects by DNN, creating custom detectors) - Supporting Deep Fake project - Integrating Image Captioning and scene detection for video sequences by ML methods - Deveoping License Plate and street name detector - Supporting Pedestrian detection system - Supporting FaceSwap (DeepFake) system - Developing laboratory works course in Image Processing C/C++ Software Engineer - Supporting and extending execution manager for automotive core system - Developing reference car model DSP/Embedded Software Engineer - realizing lane detection in automotive - Image processing - Digatal Signal Processing