Álvaro Parra
Staff Machine Learning Scientist at Seeing Machines
South Canberra, Australia
Summary
👤
Senior🎓
Top SchoolÁvaro Parra is a Staff Machine Learning Scientist based in South Canberra with a decade of experience applying geometric methods to computer vision and SLAM. He holds a PhD in Computer Science from the University of Adelaide and has transitioned academic advances—L-infinity optimisation, consensus set maximisation and robust point-cloud registration—into industry roles at Seeing Machines and Tencent. At Seeing Machines he progressed from Scientist to Staff ML Scientist, bringing research-grade rigor to production-facing perception systems for human and vehicle monitoring. His background spans geostatistical simulation, GPS and fleet software, and even educational game development, reflecting a practical breadth beyond pure research. Known for tackling geometry-centric robustness problems, he combines theoretical depth with hands-on engineering to deliver reliable vision pipelines. Visit alvaroparra.com for research details and examples of his work.
10 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at University of AdelaideMaster’s Degree Computer Science, Master’s Degree Computer Science at Universidad de Chile
English, Spanish
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (17)
slam9
image-synthesis8
super-resolution7
generative-adversarial-network7
inpainting6
diffusion-models5
image-processing5
text-to-image5
pytorch4
deep-learning4
image-generation4
image-editing4
computer-vision4
generative-ai3
multimodal3
Programming languages (2)
Github contributions (3)
ajparra/iRotAvg
Apr 2019 - Jun 2019
iRotAvg (incremental rotation averaging) incrementally solves rotation averaging. iRotAvg is the optimisation core of L-infinity SLAM.
Contributions:49 commits, 2 pushes, 4 comments in 1 month
exepulveda/roots
Jun 2016 - Jun 2017
Contributions:26 pushes in 11 months
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