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Sr. CV Engineer @ HME | PhD @ Temple University
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I am interested in physical AI, embodied intelligence, trajectory modeling, and synthetic data pipelines. I have experience in integrating deep learning and traditional computer vision for industrial inspection, automated data generation, and delivering production-grade systems optimized for edge deployment (ONNX, TensorRT).
Temple University
Doctor of Philosophy - PhD, Computer and Information Sciences
January 1, 2017 – January 1, 2023
University of Engineering and Technology, Lahore
Master of Science, Electrical and Electronics Engineering
N/A – Present
University of Engineering and Technology, Lahore
Bachelor of Science, Electrical and Electronics Engineering
N/A – Present
HME
Senior Computer Vision Engineer
May 1, 2026 – Present
Carlsbad, California, United States
California State University San Marcos
Lecturer
August 1, 2025 – Present
San Diego, California, United States
alwaysAI
Machine Learning Engineer
September 1, 2023 – February 1, 2025
Encinitas, California, United States
Quantum Design
Engineer Intern
June 1, 2023 – September 1, 2023
San Diego, California, United States
Quantum Design
Image Processing Intern
May 1, 2019 – August 1, 2019
Greater San Diego Area
Temple University
Research Assistant
August 1, 2017 – December 1, 2022
KICS
Research Associate
April 1, 2015 – August 1, 2015
Lahore
Cultural Fit Analysis
The candidate's background shows a strong focus on research and academic roles, alongside industry experience in specialized ML/Computer Vision companies. This indicates a fit for organizations that value deep technical expertise and R&D. The diversity of projects is not explicitly detailed, but the range of roles from research assistant to senior engineer suggests adaptability. However, without specific project details, assessing cultural fit based on collaboration or specific work environments is limited.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit beyond the listed roles and academic background. The psychometric test score is 0, indicating no data for evaluation.