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PhD in Computer Vision (USYD)
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Enthusiast of doing R&D in Computer Vision, Natural Language Processing, Machine Learning and Deep Learning.
University of Sydney
Doctor of Philosophy - PhD, Computer Vision
August 1, 2024 – August 1, 2027
University of Engineering and Technology, Lahore
MSc Electrical Engineering , Computer Vision, Machine Learning, Deep Learning
January 1, 2016 – January 1, 2017
University of Engineering and Technology, Taxila
BSc Electronics Engineering, Electronics, Image Processing, Signal Processing
January 1, 2011 – January 1, 2015
SlashNext, Inc.
Senior Machine Learning Engineer
July 1, 2019 – August 1, 2024
SlashNext, Inc.
Machine Learning Engineer
June 1, 2017 – June 1, 2019
KICS
Research Officer, Computer Vision and Machine Learning lab
April 1, 2017 – August 1, 2017
Lahore
KICS
Research Assistant, Computer Vision and Machine Learning Lab
August 1, 2016 – March 1, 2017
Lahore
4x4 Bit Layout Design in Microwind
May 1, 2015 – Present
This project was performed to simulate time delays, transistor sizing and metal contact effects, to get familiar with Low Level working of an Integrated Circuit.
Cultural Fit Analysis
The candidate's experience is heavily concentrated in Machine Learning and Computer Vision, which aligns well with the target role. The academic pursuits (PhD in Computer Vision) further reinforce this alignment. However, the project diversity outside of core ML/CV applications appears limited, with only one personal project on IC design. This specialization, while deep, might indicate a narrower breadth of interests or adaptability to vastly different technical domains. The long tenure at SlashNext suggests loyalty and stability.
Soft Skills & Operational Fit
The candidate's resume highlights a consistent career progression in Machine Learning roles, suggesting dedication and a structured approach to problem-solving. The detailed project descriptions indicate an ability to articulate complex technical work. However, without specific psychometric or English test results, a comprehensive assessment of soft skills, stress handling, and team collaboration is not possible.