Chris Kerr

Associate Software Engineer

Reading, England, United Kingdom
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Summary

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Chris Kerr is an Associate Software Engineer based in Reading, UK, with five years' experience blending software engineering and technical documentation. After earning an MSc in Computer Science from the University of Bristol, he transitioned from a strong background in technical writing at companies like Unity and Avaloq into hands-on engineering at Qmee (Kantar Group). He brings a rare mix of developer-focused standards work—helping teams implement validation code and improve tooling UX—and clear user-facing documentation skills, enabling smoother collaboration between engineers and product teams. His history of managing documentation migrations and rapid Agile publishing suggests an ability to ship both code and accompanying developer experiences reliably. Comfortable translating complex technical systems into accessible guidance, he thrives at the intersection of standards, tooling, and code quality. Colleagues describe him as a detail-oriented problem solver who leverages a humanities background to communicate technical ideas with clarity.
code5 years of coding experience
book5 A-Levels at grade A, 13 GCSEs A*-A, 5 A-Levels at grade A, 13 GCSEs A*-A at Graveney School
book2011 BA Hons, English, 2.1, 2011 BA Hons, English, 2.1 at University of Cambridge
bookMaster of Arts (M.A.), English Literature, Distinction, Master of Arts (M.A.), English Literature, Distinction at Durham University
bookMSc, Computer Science, Merit, MSc, Computer Science, Merit at University of Bristol
languagesEnglish
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Github Skills (14)

synthetic10
synthetic-data10
synthetic-dataset-generation10
pose-estimation9
segmentation9
object-detection9
computer-vision9
deep-learning8
machine-learning8
openmmlab8
pipeline8
validation8
perception7
pytorch7

Programming languages (1)

C#

Github contributions (2)

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Unity-Technologies/SynthDet

Sep 2020 - Sep 2020

SynthDet - An end-to-end object detection pipeline using synthetic data
Contributions:3 reviews, 6 commits, 4 PRs in 14 days
pytorchend-to-endpipelinedetectron2detection
Perception toolkit for sim2real training and validation in Unity
Contributions:3 commits, 2 PRs, 4 pushes in 15 days
validationdetectiondeep-learningcomputer-visionmachine-learning
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Chris Kerr - Associate Software Engineer