Senior Machine Learning Engineer
Current
Nov 2024 - Present
AeroLeads people directory · profile
Constantine Chimpoesh Email & Phone Number
Machine Learning Engineer at Corporare Systems
at
Corporare Systems
LinkedIn matched
✓ Verified Jul 2026
3 data sources
Profile completeness 86%
Current company
Role
Machine Learning Engineer at Corporare Systems
Location
Moldova, Republic of
Who is Constantine Chimpoesh? Overview
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Quick answer
Constantine Chimpoesh is listed as Machine Learning Engineer at Corporare Systems at Corporare Systems, based in Moldova, Republic of. AeroLeads shows a matched LinkedIn profile for Constantine Chimpoesh.
Constantine Chimpoesh previously worked as Senior Machine Learning Engineer at Corporare Systems and Senior Machine Learning Engineer at Zero10. Constantine Chimpoesh holds Master'S Degree, Computer Science, Gpa 8/10 from Higher School Of Economics.
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Corporare Systems
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Profile bio
About Constantine Chimpoesh
With a Master’s degree in Computer Science, I bring 5 years of experience in Machine Learning,specializing in Deep Learning and Computer Vision. My work at Huawei and Zero10 has led to finishedprojects in areas such as Footwear Try-On, Pose Estimation, Visual Localisation, and Depth Estimation.Projects: Footwear Try-On with a pleasant visual experience and high robustness that works in real-time; Monocular Depth Estimation that enhances the camera pipeline; Visual Localisation and IndoorDepth Estimation.Technical Skills: ML, DL, Computer Vision, Pose Estimation, Image Processing, Depth Estimation,Segmentation, NLP.
Current workplace
Constantine Chimpoesh's current company
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5 roles
Constantine Chimpoesh work experience
A career timeline built from the work history available for this profile.
Senior Machine Learning Engineer
Aug 2023 - Nov 2024
Deep Learning Engineer
(General purpose) Monocular Depth Distillation: - Distilled large transformer model into lightweight CNN with negligible degradation - Model used as a part of the camera pipeline(Indoor) Monocular Depth Estimation: - Designed method specifically for indoor scenario - RMSE improved by 15% compared to baseline - Model outperformed the SOTA MiDaS v3.0 DPT-Large in the indoor scenario, being 10 times smaller Visual Localisation: - From scratch to working prototype: core algorithms design, experiments and implementation - Robust 6DoF visual localisation achieved xx accuracy within xx meters and xx degrees - Mentorship of an internAwards: - Best Employee MRC President Award 2020
Jan 2020 - Aug 2023
Deep Learning Engineer Internship
Neural Architecture Search Experiments: - Large-scale experiments with MNAS, ENAS
Oct 2019 - Dec 2019
Research Intern
Generative Models Uncertainty Estimation: - Participated in the LHCb fast data simulation project and developed methods for uncertainty estimation of generative models - Presented our contribution to the https://indico.cern.ch/event/855454/contributions/4598662 ACAT 2021 conference - The paper was published in the Journal of Physics
Jan 2021 - Jul 2022
2 education records
Constantine Chimpoesh education
Master'S Degree, Computer Science, Gpa 8/10
Bachelor'S Degree, Computer Software Engineering, Gpa 4.9/5
FAQ
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What company does Constantine Chimpoesh work for?
Constantine Chimpoesh works for Corporare Systems.
What is Constantine Chimpoesh's role at Corporare Systems?
Constantine Chimpoesh is listed as Machine Learning Engineer at Corporare Systems at Corporare Systems.
Where is Constantine Chimpoesh based?
Constantine Chimpoesh is based in Moldova, Republic of while working with Corporare Systems.
What companies has Constantine Chimpoesh worked for?
Constantine Chimpoesh has worked for Corporare Systems, Zero10, Huawei, and Higher School Of Economics.
How can I contact Constantine Chimpoesh?
You can use AeroLeads to view verified contact signals for Constantine Chimpoesh at Corporare Systems, including work email, phone, and LinkedIn data when available.
What schools did Constantine Chimpoesh attend?
Constantine Chimpoesh holds Master'S Degree, Computer Science, Gpa 8/10 from Higher School Of Economics.
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