Summary
Overview
Work History
Education
Skills
Affiliations
Languages
Timeline
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MUHAMMAD WAJEEH UL HASSAN

Toronto,Canada

Summary

  • Computer Engineering Student with experience as a Sales Associate, demonstrating a strong foundation in time management, problem-solving, and critical thinking.
  • Proficient in C programming, Java, Intel Quartus Prime, and Matlab, with a proven ability to adapt quickly to new technologies.
  • Passionate about leveraging technical skills and collaborative abilities to drive innovation and team success.

Overview

2
2
years of professional experience

Work History

Sales Associate

7-11
09.2022 - Current
  • Enthusiastic part-time Sales Associate at 7-Eleven with a passion for delivering exceptional customer service.
  • Proven track record in achieving and surpassing sales targets, adept at upselling.
  • Possesses strong interpersonal skills, adapts quickly to new technologies, and fosters a collaborative team environment.

Deaf AI - Lead Developer

Social Ventures Zone (SVZ)
06.2024 - 08.2024
  • Developed and implemented real-time sign language interpretation technology for public transportation and airports, improving accessibility for Deaf individuals
  • Led a small, dynamic team to create innovative software solutions, utilizing project management and development processes
  • Secured funding and collaborated with mentors to drive the venture's mission of increasing accessibility for the Deaf community

Education

Bachelor Computer Engineering -

Toronto Metropolitarian University
09.2026

Skills

  • Proficient in C, Java, and Intel Quartus Prime
  • Familiarity with web technologies (HTML, CSS, JavaScript)
  • Strong problem-solving and debugging skills
  • Customer service and team collaboration
  • Creative Thinking
  • Project Management

Affiliations

Quebec Bridge Collapse

  • Collaborated with a team to research the Quebec Bridge Collapse incident and its impact in relation to engineering.

Statistics Canada Project

  • Analyzed diabetes prevalence in Canada's four most populated provinces using real data from Statistics Canada.
  • Utilized C programming and GNUPlot for data manipulation, computation, and visualization.

Languages

English
Professional
Urdu
Limited

Timeline

Deaf AI - Lead Developer

Social Ventures Zone (SVZ)
06.2024 - 08.2024

Sales Associate

7-11
09.2022 - Current

Bachelor Computer Engineering -

Toronto Metropolitarian University
MUHAMMAD WAJEEH UL HASSAN