Hi, my name is Manuel, Computer Vision engineer

Skills

Category	Tools	Skills
Programming	Python, C++	OOP, Multiprocessing
Classical Vision	OpenCV	Image Processing, Feature Extraction
3D Vision	Open3D	Camera Calibration, Multi-View Geometry, Bird's-eye View, Visual Odometry, Pose Estimation, Epipolar Geometry, Simulation
Deep Learning	PyTorch, YOLO	Object Detection, Tracking, Segmentation, Deep Metric Learning, Experiment Tracking
Model Optimization	TensorRT, NVIDIA Nsight Systems	Quantization, Inference Benchmarking, Latency Profiling
Data Pipeline	CVAT, FiftyOne	Data Curation, Deduplication, Model-assisted Verification
Embedded & Edge	Jetson Orin, Raspberry Pi	Multi-stream Processing, Hardware-Accelerated Decoding
Development	Linux, Docker, Git, Pytest, MyPy	Containerized Deployment, Unit Testing
Cloud	AWS, Azure, RunPod	Serverless Deployment, GPU Inference

Personal Computer Vision projects

• Monocular Visual Odometry

  Monocular Visual Odometry, estimating camera motion and 3D structure from a single camera.

  

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• SORT Tracker

  Python implementation of the SORT tracking algorithm.

  

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• Kalman Filter

  Python implementation of a Kalman Filter.

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• Document scanner simulation

  A document scanner application that converts images of rectangular documents into a top-down view with classical computer vision, tested in a robotics simulator.

  

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• 106K cards identification system

  Card identification system that matches a query card to a 106K card database using fine-tuned deep feature embeddings and similarity search.

  

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• TV remote Automation

  Automation of TV remote controls to assist older adults with button visibility and navigation.

  

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• Semantic segmentation

  Semantic segmentation on images taken from drones to differentiate between 12 classes.