Karanbir Chahal
Assistant IT Manager at Cheval Collection Ltd.
Dubai, Dubai, United Arab Emirates
Summary
🤩
Rockstar🎓
Top SchoolKaranbir Chahal is an Assistant IT Manager based in Dubai with a decade of hands-on experience in network administration, systems support, and hospitality IT operations. He has strong expertise in Active Directory, DHCP/DNS, TCP/IP, Cisco networking, VPNs, Wi-Fi, and enterprise backup and security tools, alongside deep familiarity with hotel PMS and POS platforms like Opera, Micros, and WINHMS. Proven in both leadership and frontline roles across international hotel brands, he excels at translating operational needs into reliable technical solutions and orientations. Beyond infrastructure, he contributes code—building a full-stack web app that converts drawn UI into HTML/CSS using Flask, socket.io and a basic ML recognizer—showing a practical mix of systems and development skills. Colleagues rely on him for pragmatic problem-solving, seamless migrations, and maintaining secure, guest-facing IT services in fast-paced hospitality environments.
11 years of coding experience
IK Gujral Punjab Technical University
English, Hindi, Punjabi
Github Skills (15)
user-interface10
graphical-user-interface10
python10
flask10
flask-ask10
human-interface10
html9
websocket9
css9
javascript8
image-processing8
pytorch6
machine-learning6
tensorflow6
scipy5
Programming languages (18)
Github contributions (5)
karanchahal/DoodleMaster
Dec 2017 - Oct 2019
"Don't code your UI, Draw it !"
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:27 commits, 6 PRs, 20 pushes in 1 year 10 months
Contributions summary:Karanbir contributed to the development of a web application focused on UI creation through drawing, integrating both front-end and back-end components. They implemented a layout creator using Python, including HTML generation and styling with CSS. The commits show work on the server-side logic using Flask and socket.io to handle real-time communication and the integration of a machine-learning model for object recognition.
drawcssjavascriptreact
karanchahal/buildTensorflow
Feb 2019 - May 2019
A lightweight deep learning framework made with ❤️
Contributions:69 commits, 17 PRs, 55 pushes in 3 months
deep-learningautodiffcuda
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