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Hamza Mubashir Email & Phone Number
AI Development Specialist
at
Northeastern University College of Engineering
LinkedIn matched
✓ Verified July 2026
3 data sources
Profile completeness 86%
Current company
Role
AI Development Specialist
Location
Boston, Massachusetts, United States
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Hamza Mubashir is listed as AI Development Specialist at Northeastern University College of Engineering, based in Boston, Massachusetts, United States. AeroLeads shows a matched LinkedIn profile for Hamza Mubashir.
Hamza Mubashir previously worked as Senior ML & SW Design Engineer at Cowlar Design Studio and ML & SW Design Engineer at Cowlar Design Studio. Hamza Mubashir holds Master Of Science - Ms, Electrical And Computer Engineering (Computer Vision, Machine Learning And Algorithms) from Northeastern University.
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Northeastern University College of Engineering
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About Hamza Mubashir
Hamza Mubashir is a Machine Learning and Computer Vision Engineer @ Cowlar (YC W17) currently up-skilling with a Masters in Computer Vision and Machine Learning. He has a background in Electrical Engineering specializing in Computer Vision and AI with a Cumulative GPA of 3.97 on a 4.00 scale. Hamza has numerous certifications from world-renowned organizations and universities and has worked on numerous projects relevant to his field spanning across a variety of areas such as Computer Vision, MLOps, Data Engineering, Model Optimization, and Edge / Cloud Model Serving / Deployments among various others.
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Hamza Mubashir's current company
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Northeastern University College Of Engineering
AeroLeads page
6 roles
Hamza Mubashir work experience
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Senior Ml & Sw Design Engineer
Current⚙️ Performed significant R&D and pioneered the Action Recognition architecture for predicting customer interactions with Smart Carts allowing for an AI assisted Shopping Experience. The system is a custom redesign of the Google Research Mobile Video Networks published in 2021 CVPR and achieves a 95% accuracy at identifying interactions in real-time while running on the edge.⚙️ Built the Action Recognition deployment and serving capability ground up with dual inference capability on edge with RockChips Android NPU & online using a NVIDIA distributed cluster with capability of switching between both based on camera resolution.⚙️ Integrated multiple human operated stations involved in fiber termination into a single automated system. Relying on Computer Vision this system achieves a 96% Success Rate at aligning fibers with a remarkable precision to a scale of 5 micrometers and increasing production capacity from 240 cables per month to 9,600 cables monthly boosting production capacity by 40 times.⚙️ Managed and scaled cross-functional engineering teams in the Industrial Automation and Artificial Intelligence sectors, driving significant success across multiple projects and fostering a culture of continuous and constructive improvement.
Aug 2023 - Present
Ml & Sw Design Engineer
⚙️ Led the automation efforts of an entire factory in North America for an Amazon partnered Data Center Fiber Optics supplier.⚙️ Developed the Fiber Organizer Robot, an intricate system integrating computer vision, machine learning to sort 250-micron fibers (~ thickness of human hair), increasing production capacity by 500% and producing 6 AWS cables per hour from 1 cable per hour.⚙️ Developed a platform to automate vision applications with active learning based workflows, ensuring efficient operations during the data gathering process. Provides access to Machine Learning specific pipelines, automated deployments and workflows.⚙️ Built end-end a real-time indoor location system relying on Computer Vision for GPS deprived environments with custom built real-time adaptive industrial camera parameter adjustment running on Android and deployed for use in the Smart Cart product.
Jul 2022 - Jul 2023
Senior Design Engineer
Aug 2023 - Aug 2024
Design Engineer
Jul 2022 - Jul 2023
Research Intern
⚙️ Worked on Bio-Inspired Classification project after conducting thorough research on the subject.⚙️ Conducted research for the Negative Selection Artificial Immune System project.⚙️ Attended workshop on EEG brain interfaced headset training.
Aug 2021 - Oct 2021
3 education records
Hamza Mubashir education
Master Of Science - Ms, Electrical And Computer Engineering (Computer Vision, Machine Learning And Algorithms)
Bachelor'S Degree, Electrical Engineering, 3.97/4.00
United States Embassy Sponsored Englishworks! Program
FAQ
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What company does Hamza Mubashir work for?
Hamza Mubashir works for Northeastern University College of Engineering.
What is Hamza Mubashir's role at Northeastern University College of Engineering?
Hamza Mubashir is listed as AI Development Specialist at Northeastern University College of Engineering.
Where is Hamza Mubashir based?
Hamza Mubashir is based in Boston, Massachusetts, United States while working with Northeastern University College of Engineering.
What companies has Hamza Mubashir worked for?
Hamza Mubashir has worked for Northeastern University College Of Engineering, Cowlar Design Studio, Cowlar Inc, and National Centre Of Robotics & Automation.
How can I contact Hamza Mubashir?
You can use AeroLeads to view verified contact signals for Hamza Mubashir at Northeastern University College of Engineering, including work email, phone, and LinkedIn data when available.
What schools did Hamza Mubashir attend?
Hamza Mubashir holds Master Of Science - Ms, Electrical And Computer Engineering (Computer Vision, Machine Learning And Algorithms) from Northeastern University.
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