AI & Computer Vision Engineer focused on Monocular Depth Estimation (MDE), UAV perception, Curriculum Learning, and 3D vision.
Experienced in building deep learning pipelines, dataset engineering, and research-oriented development in PyTorch.
Currently exploring depth estimation, UAV disaster-management applications, and multimodal learning.
Actively applying for research positions and PhD opportunities.
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SPIdepth Curriculum Learning β Curriculum Learning for self-supervised and supervised MDE on KITTI & MidAir.
PyTorch, UAV datasets, custom dataloaders, training pipelines.
π Repository -
Real-Time Gesture Recognition β Dual-stream CNN (RGB + Optical Flow) for interactive video conferencing.
π Repository -
GAN Data Augmentation β Synthetic generation to improve classifier performance..
π Repository -
YOLO + Kalman Filters Tracking β Tennis ball segmentation and trajectory prediction.
π Repository -
VR Tower of Hanoi β Three.js + VR API game running on Meta headsets. π Repository
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3D Reconstruction (SfM + NeRFs) β Reconstructed 3D objects and novel-view generation using PyTorch & COLMAP.
π Repository
Deep Learning: PyTorch, TensorFlow, SSL, GANs, CNNs, RL
Vision: YOLO, SfM, NeRFs, SLAM, Optical Flow
Tools: W&B, TensorBoard, Git, Docker
Backend: NodeJS, Django, SQL Server
Cloud: AWS, GCP
You can download my full Curriculum Vitae (CV) and portfolio (PDF) here:
- π Portfolio (PDF)
- π Resume / CV (PDF)
Email: jorgeturriatellallire@gmail.com
LinkedIn: https://www.linkedin.com/in/jorge-victor-turriate-llallire-6158b9184/
