Masoud Moghadam
Computer Vision Engineer at JP DRONI Srl
Türkiye Turkey
Summary
🤩
Rockstar🎓
Top SchoolMasoud Moghadam is a seasoned Computer Vision Engineer with eight years of experience building and deploying real-time AI systems across cloud and edge platforms, from NVIDIA Jetsons to Raspberry Pis. He specializes in sports analytics, drone-based inspection, and industrial diagram understanding, having delivered solutions that detect volleyball and cricket actions, recognize 400+ P&ID symbols, and identify solar-panel faults from RGB and thermal imagery. Masoud pairs deep learning expertise (TensorFlow, PyTorch, ONNX, TensorRT, TFLite) with practical MLOps and model optimization skills to halve latency or more in production pipelines. He has repeatedly turned research prototypes into production—improving inference speed 2x, boosting detection accuracy, and reducing inspection times by 35%—and has led small teams to edge-ready deployments. A prolific technical writer on AI tooling and deployment, he also brings a pragmatic focus on coverage-efficient drone planning and heuristic integration to make analytics both fast and actionable.
8 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Information Technology, 16.45 / 20, Master of Science - MS, Information Technology, 16.45 / 20 at Urmia University of Technology
Persian, English, Turkish
Stackoverflow
1,124reputation
1.3mreached
30answers
74questions
Github Skills (76)
python10
deep-learning10
yolov510
object-detection10
precision-recall10
average-precision10
machine-learning10
cnn-model10
javascript9
object-tracking9
onnx9
neural-network9
yolov89
tflite9
coreml9
Programming languages (6)
Github contributions (5)
masouduut94/volleyball_analytics
Apr 2023 - Apr 2025
This project is designed to display how we can utilize deep learning methods for Sports Data Analytics.
Contributions:2 reviews, 6 PRs, 179 pushes in 2 years
action-detectionanalyticsball-detectionfastapiobject-detection
masouduut94/MCTS-agent-cythonized
Nov 2019 - Mar 2021
Contributions:11 commits, 17 pushes, 1 branch in 1 year 4 months
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