Ali Hassan
Engineering Manager – Computer Vision & AI
8.3
Years of Experience
Education
information technology university, virtual university of pakistan
Companies
motive, motive, ingrain.io, techarete, lahore university of management sciences, lahore university of management sciences
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Email (Verified)
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Experience
2020 - Present
motive
Engineering Manager – Computer Vision & AI
Leading a team of Research Scientists and Engineers in the area of Computer Vision and Machine Learning.
2017 - 2020
motive
Sr. Software Engineer – Computer Vision
• Developed cloud-based ML services capable of detecting close following, unsafe lane change, and distracted driving • Developed efficient video labeling pipeline to annotate safety-critical driving performance events, capable of processing over 98% of videos within 10 minutes SLA. 2.7 MM videos have been processed/annotated to date • Developed Driver ID feature to automatically identify drivers for unassigned driving periods • Built state-of-the-art algorithms for lane detection and vehicle distance estimation. Lane detection method improves state-of-the-art by +7.8%, +6.8% and +1.2% of F1 scores on CULane, Caltech and TuSimple datasets, respectively. Whereas distance estimation algorithm beats RADAR! • Currently developing algorithms for AI Dashcam to detect events such as close following, unsafe lane change, and distraction on the edge
2014 - 2017
ingrain.io
Lead Computer Vision Engineer
500 Startups backed company focused on enabling Mixed Reality on Smartphones. • Developed novel position tracking technology for smartphone Augmented Reality that required less than 30% of smartphone resources at the time (ingrain.io) • Developed algorithms for advanced video parsing, scene analysis, and augmentation – enabling real-time Automatic Native Advertisement. Ran campaigns with Maker Studios and GEICO on YouTube. Launched with Geo TV
2013 - 2014
techarete
Computer Vision Software Engineer
National ICT R&D Fund backed company automating ads analytics for broadcast TV and Radio channels. • Implemented novel algorithms for audio and visual content matching, indexing, retrieval, and multimodal fusion • Implemented pipeline for detecting repeated content such as ads and TV shows from live broadcast Radio and TV streams in real-time
2012 - 2012
lahore university of management sciences
Teaching Assistant
Conducted labs, created assignments, and supervised term projects of the Computational Problem Solving course
2011 - 2013
lahore university of management sciences
Research Assistant (Computer Vision)
Worked in Computer Vision Lab with Dr. Murtaza Taj (www.cvlab.lums.edu.pk) • Devised and implemented a novel and efficient 2D human pose estimation and tracking algorithm which requires 80% less computations as compared to the state-of-the-art • Published two top-tier conference papers and a Springer book chapter
Experience
45 Skills
Algorithms
Algorithms
Amazon EC2
Amazon Web Services (AWS)
Android
Android Development
Artificial Intelligence (AI)
Artificial Neural Networks
Augmented Reality (AR)
Augmented Reality (AR)
AWS Lambda
Boost C++
C
CMake
Computer Science
Computer Vision
Computer Vision
Convolutional Neural Networks (CNN)
Deep Learning
Deep Neural Networks (DNN)
Github
Image Processing
Java
Kubernetes
LESS
Machine Learning
Machine Learning (ML)
Microsoft Visual Studio C++
Mobile Applications
Neural Networks
Object Detection
OOP
OpenCV
Pattern Recognition
Programming
Python
Research
Research Scientist
Senior Software Engineer
Software Development
Software Engineer
Software Engineering
TensorFlow
Terraform
Vision
Education
2015 - 2018
information technology university
Master’s Degree
Computer Science
2007 - 2012
virtual university of pakistan
Bachelor's Degree
Computer Science
