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Maaz Naeem

FAST · 2022 · 18I-0729
Email
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Phone
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LinkedIn
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GitHub
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Academic

Program
BSCS
CGPA
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Year
2022
Education
FAST NUCES Islamabad
Address
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DOB
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Career

Current role
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Target role
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Skills
React, Django, Docker, Kubernetes, Tensorflow, Python, Material UI, AWS, JavaScript, SQLite

Verbatim text

The exact text the LLM saw on the page (or the booklet text from the old import). This is what powers semantic search. 
Group Members: Muhammad Saad (i19-1891), Asim Altaf (18I-0727), Maaz Naeem (18I-0729). Supervisor: Ms. Amna Irum. Project: Web Application for shops vendor digital marketplaces platform buying and selling products with Artificial Intelligence-feature. Technology Used: React, Django, Docker, Kubernetes, Tensorflow Python, Material UI.

AI enrichment

Maaz Naeem is a BSCS graduate who contributed to a group project developing a web application for vendor digital marketplaces. The platform utilized React, Django, and Docker, incorporating Artificial Intelligence features via TensorFlow to facilitate product buying and selling.
Skills (AI)
["React", "Django", "Docker", "Kubernetes", "TensorFlow", "Python", "Material UI"]
Status: ai_done
Provenance
Source file: FAST - School of Computing -Graduate Directory-2023.pdf
From job #14 page 446
Created: 1778169248