Andrea Pennisi

Senior AI Engineering Manager at Enhesa

Brussels, Belgium
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Summary

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Senior
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Andrea Pennisi is a Senior AI Engineering Manager based in Brussels with 11 years of experience turning research-grade computer vision and NLP into production-ready AI products for environmental compliance and legal tech. He leads cross-functional teams to deliver LLM-driven recommendation systems and text/image analysis pipelines, improving accuracy and delivery efficiency while contributing to multi-million euro savings. A PhD-trained researcher with multiple postdoctoral roles, he bridges academia and industry—publishing in medical imaging and sports analytics while shepherding proprietary NLP libraries and generative AI PoCs into client-facing solutions. Known for mentoring engineers and driving first-of-their-kind external projects, he combines deep technical expertise in vision and NLP with a pragmatic focus on measurable business impact.
code11 years of coding experience
job8 years of employment as a software developer
bookComputer Vision, Computer Vision at International Computer Vision Summer School (ICVSS) 2012
bookComputer Vision and Surveillance, Computer Vision and Surveillance at Short Spring School in Surveillance S4
bookDoctor of Philosophy (Ph.D.) Engineering in Computer Science, Doctor of Philosophy (Ph.D.) Engineering in Computer Science at Sapienza Università di Roma
bookIngegneria Informatica Ingegneria, Ingegneria Informatica Ingegneria at Università di Catania
languagesItalian, English, French
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Github Skills (57)

opencv10
person-detection10
python10
jpda10
machine-learning10
classifier10
fusion10
robot10
detector10
eigen10
homography10
scene10
object-detection10
computer-vision10
face-detector10

Programming languages (5)

C++CJupyter NotebookMATLABPython

Github contributions (5)

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R-GBD Person Tracking is a ROS framework for detecting and tracking people from a mobile robot.
Contributions:9 commits, 8 pushes, 1 branch in 1 year 2 months
mobilerosdetectionperson-detectionsegmentation
apennisi/fast_face_detector

Sep 2016 - Mar 2018

A face detector based on the work "Aggregate channel features for multi-view face detection" presented by Bin Yang, Junjie Yan, Zhen Lei and Stan Z. Li.
Contributions:11 commits, 16 pushes, 1 branch in 1 year 5 months
face-detectionface-detectorcomputer-vision
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