The CONVSYS team comes with a rich experience spreading over several years in respective areas with the enthusiasm and drive to achieve customer targets as per each individual project plan.
Engr. Fawad Salam Khan
Director and CEO
Engr. Fawad Salam Khan, the Director and CEO, having Bachelor’s and double Master’s Degrees in Computer Engineering & Computer Science from NEDUET and IIUI Pakistan . He is a member of Pakistan Engineering Council in the capacity of Professional Engineer. Fawad has more than 20 years of experience in the field of Information Technology and Academics. He is highly skilled in managing local and international projects and expert teams. He has attended various prestigious trainings and conferences in Germany, Singapore, Bangladesh and Malaysia.
Dr Humayun Irshad
Chief Technical Advisor
Chief Technical Advisor to the company, having PhD Degree from France, is the Machine Learning and Computer Vision Leader, specializing in Deep Learning & Active Learning, with domain expertise’s in medical imaging, autonomous car, drones and flying vehicles. Experienced in delivering computer vision products and APIs for use cases including image recognition and classification, object detection and segmentation in 2D and 3D images/videos - application ranging from medical, autonomous driving and flying vehicles, retail, fashion.
Over 20 years of professional experience with the biggest consulting and technology companies in the world. Experienced in setting up and running large scale Technology practices in Asia, Middle East and North America. Managed Large scale IT and Business Transformation projects for many Fortune 500 companies globally in FMCG, Telco, Public Sector, Utilities, Oil and Gas and Financial Services. A Chartered Accountant, PMP, PRINCE2, and Scrum Alliance Certified Professional. Have been associated with several start ups as a Mentor and an Adviser.
Dr. Muhammad Inam Abbasi
Dr. Muhammad Inam Abbasi completed his BSC in Electrical Engineering with major in Telecommunication in 2008 from Centre for Advanced Studies in Engineering (CASE Islamabad), University of Engineering and Technology (UET, Taxilla), Pakistan. He joined Wireless and Radio Science Centre (WARAS), Universiti Tun Hussein Onn Malaysia (UTHM) for MS & Phd. He did Post Doctrate from UTM Malasiya in 2018. His recent research interests lie in high performance antenna design, passive and reconfigurable reflectarray and planar reflector antennas and investigating novel materials for the design of enhanced performance antennas.
Dr Ayyaz Hussain
Dr Ayyaz Hussain has done Post Doctorate from GIST South Korea, his expertise related to algorithm design and deployment of projects, he has more than 25 years of experience in academic, research and project designing. He published various research articles in the field of image processing, computer vision and machine learning. Being the Solution Architect at CONVSYS he has been working with core design team and preparing different solutions based on AI, Machine Learning and Depp Learning. He is also associated with different Higher Education Institutes in the country providing various training in the field of AI.
Engr. Muhammad Danial Khan
Design Engineer & iOS Developer
Design Engineer Engr. Danial has been developing and debugging in python, Open CV, knowledge of open-source machine learning framework and its related libraries. Research and develop state of the art techniques in the field of computer vision and facial recognition. He developed, a software in python for label inspection. The tools and packages used for this project are OpenCV, PyQt5, Numpy, Matplotlib and CxFreeze.
Head Cyber Security
An enthusiast security researcher with core experience in cybersecurity. He has worked with both local and foreign industries and actively providing consultancies. He has completed his Masters in information security. His research areas are Exploit development, Reverse Engineering ,IOT security and Network security .
Engr. Muhammad Hamza
Junior Design Engineer
Hamza is a skilled electronics engineer who graduated in 2020 from Riphah International University. He is multi-talented with expertise in embedded systems and computer vision, machine, and deep learning. He completed various projects using Arduino, Raspberry Pi, and CNN. He has expertise in data management and data wrangling for Deep Neural Networks on GPUs and in Adobe Creative Cloud and Jetson Nano. Currently working on deep reinforcement learning and optimization algorithms. .