Philip Molloy
Senior Engineer Embedded Software at Analog Devices
Munich, Bavaria, Germany
Summary
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Rockstar🎓
Top SchoolPhilip Molloy is a Senior Embedded Software Engineer with 12 years of experience designing and shipping embedded Linux, boot firmware, device drivers, and real-time systems across aerospace, imaging, and communications domains. Currently at Analog Devices after leading firmware and system work for a space-comms startup, he has deep hands-on expertise with kernel, Yocto/Buildroot, U-Boot/ATF, and low-latency debugging. His background includes firmware for Intel Movidius Myriad X and practical ML/vision examples for the popular DepthAI Python project, where he optimized 4K RGB+NN preview workflows. Philip combines systems-level rigor with applied ML and hardware integration, and brings an uncommon mix of avionics flight-termination experience and production embedded tooling skills. Based in Munich, he pairs technical breadth with a pragmatic focus on shipping reliable, upgradable firmware in constrained environments.
12 years of coding experience
11 years of employment as a software developer
BA International Economics & German, BA International Economics & German at The George Washington University
Github Skills (10)
neural-network10
depthai10
object-detection10
computer-vision10
opencv10
machine-learning10
mobilenet10
python10
embedded8
sys8
Programming languages (17)
Github contributions (5)
luxonis/depthai-python
Jan 2021 - Jan 2021
DepthAI Python Library
Role in this project:
ML Engineer
ML EngineerContributions:1 review, 12 commits, 11 PRs in 15 days
Contributions summary:Philip primarily contributed to examples related to computer vision, specifically object detection using a pre-trained MobileNet model on 4K resolution video. They developed a new example to display a full resolution RGB image with an NN overlay, improving the speed and resolution of the preview feed. Further contributions involved streamlining the examples to allow for displaying 4K video and NN results simultaneously, as well as keeping the preview aspect ratio. They also documented a new 4K RGB MobileNetSSD example.
pytorchpython-librarypythondeep-learningmachine-learning
pamolloy/interview
Jul 2015 - Jan 2017
Contributions:29 commits, 12 pushes, 4 branches in 1 year 6 months
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