I'm a multilingual AI R&D Engineer & Computer Scientist based in Japan 🇯🇵, passionate about building AI systems end-to-end — from research to real-world deployment. Currently, I am focused on SOTA Computer Vision and industrial AI applications.
- 🔬 World Models - Deepening research into V-JEPA and self-supervised learning to interpret how models build internal representations of complex environments.
- 🧠 E2E Reinforcement Learning & Simulation – Training autonomous control agents using NVIDIA Isaac Lab (PPO / RSL-RL) and differential-drive kinematics.
- 📝 Affective Computing Research – Currently contributing to a comprehensive survey paper on Multimodal Affective Computing.
- 🤖 AI & Machine Learning – I design and fine-tune models for Computer Vision (Semantic Segmentation / Keypoints-detection) , and LLM-powered Agents. Also, I have implemented from scratch architectures like Transformers or Vision Transformers.
- 🛰️ Geospatial AI – Applied CV on drone and satellite imagery using PyTorch + geospatial libraries like GDAL/Rasterio.
- 🕵️♂️ Real-Time Object Detection – Trained YOLO models and implemented visual pipelines for multiclass recognition.
- 🌐 AI + Web Integration – Built and deployed apps combining Flask, ReactJS, and Hugging Face APIs.
- V-JEPA Visualizer Dashboard | World Models & Perception
Open-source unsupervised visual representation visualizer for V-JEPA trained on driving video data to inspect internal predictive latent spaces. - End-to-End Robotics in Isaac Lab | Embodied AI & RL
Simulated differential-drive mobile robot navigation using deep reinforcement learning (PPO) in NVIDIA Isaac Lab. - Swin Transformer & ViT
Implemented and fine-tuned advanced transformer architectures for image classification tasks. - Semantic Segmentation with SegFormer & DeepLabV3
Fine-tuned models for aerial imagery classification (F1 > 90%) using PyTorch. - Industrial IoT Pipelines Designed end-to-end data monitoring systems using Prometheus, Grafana, and Flask.
Languages: Python, JavaScript, HTML/CSS, SQL, C, Java, PHP
Frameworks: PyTorch, Flask, React, Hugging Face
Tools: Git, Prometheus, Grafana, QGIS, QEMU, Docker
Concepts: Computer Vision, Deep Learning, Transformers, Semantic Segmentation, LLMs, NLP, IoT
🇯🇵 Japanese Business | 🇬🇧 English Fluent | 🇪🇸 Spanish Native | 🇩🇪 German Basic
- 💼 LinkedIn: linkedin.com/in/alejandro-meza-tudela