Muhammad Naseer Subhani
Location: Pakistan
Email: im.naseerr@gmail.com
Phone: +92-334-9796-488
GitHub: mnaseer
LinkedIn: mnaseersubhani
Download in PDF: CV
Experience
Olektra AI
Project Manager
Full Time, Pakistan*
Aug 2019 – Present
- Developing AI-based inspection systems for manufacturing environments, includ- ing defect detection, quality control, and process monitoring.
- Analyze industrial workflows to identify core problems and propose efficient, au- tomated solutions.
- Work directly with engineering and production teams to integrate AI models into real-world industrial systems.
- Build, test, and deploy machine learning, computer vision, and automation solu- tions tailored to industry needs.
- Ensure all solutions meet industry standards, production requirements, and per- formance targets
Apex Treasure Sdn Bhd
Computer Vision Engineer
Remote, Pakistan
Jan 2023 – April 2025
- Developing classification, object detection, and segmentation models optimized for embedded systems and low-power hardware.
- Delivering AI-driven solutions to improve efficiency in industrial projects.
- Gaining experience in integrating computer vision solutions into embedded platforms for seamless compatibility.
Nommas
Software Engineer
Jeddah, KSA
Sep 2021 – May 2022
- Designed AI vision-based inspection systems for manufacturing industries.
- Collaborated with mechanical engineers to bring prototypes to production.
- Worked with lightweight devices like Nvidia Jetson Xavier NX and TX2.
- Deployed systems for companies such as Savola Group, SaudiCan, and Aquat food industries.
Deep Learning Engineer
Jeddah, KSA
Aug 2020 – Sep 2021
- Developed and deployed deep learning models for semantic segmentation, object detection, and anomaly detection.
- Utilized frameworks including PyTorch, TensorFlow, Keras, and OpenCV.
Information Technology University
Research Associate
Lahore, Pakistan
Jan 2018 – Nov 2019
- Worked on semantic segmentation and domain adaptation challenges.
- Deployed Apollo.auto on Nvidia Jetson TX2 for autonomous vehicle projects.
- Published a paper in ECCV 2020 on domain adaptation in semantic segmentation.
Education
MS Electrical Engineering
Information Technology University, Lahore, Pakistan
Sep 2016 – April 2018
- Major: Deep Learning and Embedded Systems
- Thesis: “Learning from Self-Generated Scale-Invariant Examples for Domain Adaptation in Semantic Segmentation”
BS Electrical Engineering
University of Lahore, Lahore, Pakistan
Sep 2012 – May 2016
- Major: Communication and Embedded Systems
Skills
- Programming Languages: Python, C++, Dart, C#, SQL, JavaScript, Shell, Java
- Technologies: PyTorch, TensorFlow, Keras, OpenCV, Embedded AI Solutions
- Soft Skills: Communication, Creativity, Time Management, Efficient debugging of deep learning pipelines, Collaboration with cross-functional teams
Honors
- Awarded $10,000 Azure credits by Microsoft.
- Silver Medal in Microcontroller Programming (2016 UCP Olympics).
- 1st Position in Microcontroller Programming (2016 UOL ECL).
- Gold Medal in Microcontroller Programming (2015 UCP Olympics).
