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).