I will build sports computer vision, player tracking, and biomechanics ai solutions

Estonia

I speak English, Spanish

AI Engineer Computer Vision Machine Learning Deep Learning

I specialize in developing AI-powered Computer Vision solutions that solve real-world challenges. With expertise in Machine Learning, Deep Learning, and image processing, I build accurate and scalable...
About this Gig

Turn standard sports video footage into actionable performance insights, tactical maps, and injury-prevention metrics.I build end-to-end Computer Vision pipelines for sports teams, combat sports, tennis/pickleball, and fitness applications.


What I Offer

  • Markerless Pose Estimation & Biomechanics: 2D/3D joint angle detection, gait analysis, posture evaluation, and stroke/swing form tracking.


  • Player Detection & Re-Identification (Re-ID): Track multiple athletes in real-time across occlusion, jersey overlaps, and camera movement (ByteTrack, DeepSORT, BoT-SORT).


  • Action & Strike Recognition: Automated strike counting (combat sports), rep counting, or event tagging from video streams.


  • Ball & High-Speed Object Tracking: High-precision trajectory tracking, court/field mapping (homography), and bounce/line-call analytics.


  • Deployment Options: Lightweight edge deployment (NVIDIA Jetson, OAK-D, mobile) or cloud-based API pipelines.


APIs:

Microsoft Computer Vision AI

•

Amazon Rekognition

Expertise:

Image processing

•

Software development

Programming language:

Python

•

R

•

MATLAB

•

Colab

•

NoSQL

Tools:

OpenCV

•

TensorFlow

•

MLflow

•

SimpleCV

•

Clarifai

•

Colab

•

PyTorch

Frameworks:

Scikit-learn

•

Google ML Kit

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SimpleCV

•

Keras

•

PyTorch