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Maaz Naeem

FAST · 2022 · 18I-0729
Email
Phone
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Academic

Program
BSCS
CGPA
Year
2022
Education
FAST NUCES Islamabad
Address
DOB

Career

Current role
Target role
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 capstone project developing an AI-powered web marketplace platform. The project utilized a full-stack technology stack including React, Django, and TensorFlow, deployed with Docker and Kubernetes.
Skills (AI)
["React", "Django", "Docker", "Kubernetes", "TensorFlow", "Python", "Material UI", "Web Development", "Artificial Intelligence"]
Status: ai_done
Provenance
Source file: FAST - School of Computing -Graduate Directory-2023.pdf
From job #14 page 446
Created: 1778140213