
Pankaj Sharma

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About me
Staff Engineer at Aark Global
Education

CHANDIGARH UNIVERSITY
2016 - 2020Bachelor of Engineering - BE Electrical, Electronic and Communications Engineering Technology/Technician 7.75
Experience

Cognizant
Jan 2020 - Jun 2023Software engineer software engineer Junior software engineer
Associate
Sept 2022 - Jun 2023Program Analyst
Aug 2021 - Sept 2022program analysts trainee
Aug 2020 - Aug 2021Internship Trainee
Jan 2020 - Aug 2020

AARK Global Inc
Jul 2023 - nowStaff EngineerSoftware Engineer
Licenses & Certifications

Cisco Certified Network Associate Routing and Switching (CCNA)
CiscoAug 2019- View certificate

Microsoft Certified: Azure Fundamentals
MicrosoftAug 2023
Honors & Awards
- Awarded to Pankaj SharmaDesign and Simulation of Interactive Personal Assistant Robo Cargo Carrier based on Computer Vision with Artificial Intelligence - Apr 2019 About the project: People use to carry their luggage by own when they visit places. An increase in luggage increases the workload for the people day by day. A technique is implemented to resolve this problem where user need not carry their luggage by own instead of a bot which carries cargo. It is an autonomous Bot which works on machine learning. Bot collect data provided by the user and then it trains data and the corresponding trained file is used to recognize the particular user by its own.… Show more About the project: People use to carry their luggage by own when they visit places. An increase in luggage increases the workload for the people day by day. A technique is implemented to resolve this problem where user need not carry their luggage by own instead of a bot which carries cargo. It is an autonomous Bot which works on machine learning. Bot collect data provided by the user and then it trains data and the corresponding trained file is used to recognize the particular user by its own. Code programming is done with OpenCV and Python. It recognizes its owner by face recognition and body edge detection and follows his path. When the bot is in work it detects real-time face and it compares the input with the trained data with a positive result it performs its cargo carrier task. Apart from this, it can be controlled automatically by tracking the owner by avoiding obstacles in the way and follows the command with voice recognition works same as face recognition has the storage capacity for cargo which can weigh between 20-25 Kg. Its body mechanism is made in such a that it can travel on and off-road track and can also climb the stairs. The bot comes with many features that it can detect and follow particulars whose data is feed in the system. System Information privacy is maintained as only admin can change system settings according to his/her use. The bot is biometrically protected. A most common application is during office time and marketing time used to transfer cargo from one place to another without any human efforts.Library: numpy, opencv.Tool and Technology: python ide, ros.operation system: Ubuntu 16, Rasbian, window 10. Show less
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