Abdul Basit

Associate Lead Machine Learning at AERODYNE GROUP

Abdul Basit is an experienced professional in machine learning and computer vision, currently serving as Associate Lead Machine Learning at AERODYNE GROUP since September 2022, where responsibilities include developing machine learning products for drones. Prior roles include software engineer at Turing and data scientist at i2c Inc. From September 2021 to June 2022, Abdul worked as a machine learning engineer at NETSOL Technologies Inc., following a position as a research assistant at Information Technology University, specializing in real-world computer vision and deep learning solutions. Early experience includes research assistant roles at the Center of Language Engineering and internships at Ericsson Inc. Abdul Basit holds a Master's degree in Computer Science from Information Technology University and a Bachelor's degree in Electrical Engineering with a concentration in Computer Science from the University of Engineering and Technology, Lahore.

Location

Lahore, Pakistan

Links

Previous companies


Org chart

No direct reports

Teams


Offices

This person is not in any offices


AERODYNE GROUP

2 followers

Aerodyne is a leading 360DT3 drone-based enterprise solutions provider, ranked as the world's #1 drone service provider for two consecutive years by Drone Industry Insights (DII) in 2021 and 2022. Our holistic approach to Drone Tech, Data Tech, and Digital Transformation (360DT3) helps organisations overcome complex industrial challenges by leveraging drone data and AI-powered analytics. We adopt a client-centric approach and collaborate with organisations using the Build-Operate-Transfer (BOT) model, empowering them to establish their own in-house drone capabilities while capitalising on our expertise and experience. Aerodyne employs over 1,000 drone professionals to operate on an unprecedented level in the Unmanned Aircraft System (UAS) services sector, having managed more than 752,700 infrastructure assets with 458,058 flight operations and surveyed over 380,000 km of power infrastructure across 45 countries globally.


Employees

501-1,000

Links