Zotha G Shezi
I'm Computer Systems Engineer
About Me
Hello, I’m Zotha Shezi, a Computer Systems Engineering National Diploma graduate with a passion for designing and developing impactful digital solutions. My background gives me a solid understanding of both hardware and software, allowing me to approach problems with a well-rounded, systems-level perspective.
IT Support & Systems Intergration Engineer.
I specialize in maintaining IT infrastructure, troubleshooting issues, and integrating software and hardware solutions to improve efficiency.
- Birthday: 19 September 1996
- City: Johanesburg, South Africa
- Age: 30
- N Diploma: Computer Systems Engineering
- Email: zothagshezi@gmai.com
- Availability to start work: Immidiately
I take pride in being both detail-oriented and people-focused making sure technology not only works but also empowers users to perform at their best. My goal is to continue growing as a professional who bridges the gap between people and technology through innovative IT solutions.
My Skills
“I bring not only technical expertise but also adaptability, creativity, and the ability to turn challenges into opportunities. I believe in continuous learning and in contributing value through both skill and character.”
Resume
“Great effort goes into carrying out responsibilities, as they often arise out of necessity and circumstances beyond ones control.."
Sumary
Zotha Goodman Shezi
Results-driven IT Support and Integration Engineer with 4 years of experience delivering reliable technical support, system integrations, and infrastructure optimization. Skilled in troubleshooting complex issues, deploying and maintaining enterprise systems, and ensuring seamless connectivity across platforms. Adept at collaborating with cross-functional teams to implement technology solutions that improve efficiency and user experience. Strong background in Windows/Linux(Ubuntu) environments, networking, cloud platforms and automation tools, with a proven ability to adapt quickly, resolve incidents effectively, and support mission-critical operations.
- 5789/9 Mbiza Street, Tembisa, 1632
- +27 79 599 4399
- zothagshezi@gmail.com
Education
NDip: Computer Systems Engineer.
2015 - 2018
Tshwane University of Technology, Pretoria, Gauteng
Computer Systems Engineering combines principles of electrical engineering, computer science, and information technology to design, develop, and optimize computing systems.
Grade 12(Umalusi)
Completed - 2014
Silokoza Secondary School, Ladysmith, KZN
Subjects: Physical Science, Geography, Life Science, Mathermatics, English, IsiZulu(HL), and LO
Professional Experience
Hardware Support Technician
2019 - 2023
IoT.nxt, Centurion, Gauteng
- Diagnose, troubleshoot, and resolve hardware, software, and network issues.
- Monitor and respond to help desk tickets to ensure timely issue resolution.
- Support network connectivity, including Wi-Fi, VPN, and LAN troubleshooting.
- Document technical issues, solutions, and standard operating procedures.
- Provide technical support to end-users via phone, email, chat, or in person.
- Install, configure, and maintain operating systems, applications, and peripherals.
- Provide basic training and guidance to users on IT tools and best practices. Escalate unresolved or complex issues to higher-level support or engineers.
Intern: Systems Assembling and Intallation
2018 - 2019
E-Bitz, Centurion, Gauteng
- Assemble, install, and configure computer hardware and peripheral devices
- Troubleshoot and resolve issues during assembly, installation, or configuration
- Perform wiring, cabling, and network equipment installation to ensure reliable connectivity
- Collaborate with IT teams to ensure seamless system integration and deployment
My Projects
“Each project represents not just a solution, but a journey of problem-solving, innovation, and growth. They reflect my ability to apply knowledge in practical ways and deliver results that make a difference.”
Certificates
“Each certificate marks a milestone in my journey of growth — proof of my dedication to mastering new skills, embracing challenges, and striving for excellence in my field.”
AI For Everyone
The AI for Everyone course (Andrew Ng) introduces AI in simple terms, focusing on what AI can and cannot do. It explains AI’s role in business, how projects are built using data, and the importance of collaboration between technical teams and domain experts. The course highlights real-world applications, challenges like bias and privacy, and the societal impact of automation. It empowers non-technical professionals to understand, manage, and apply AI responsibly in their organizations and daily lives.
Introduction to Artificial Intelligence (AI)
The Introduction to Artificial Intelligence (AI) course (IBM, Coursera) covers AI fundamentals, including machine learning, deep learning, neural networks, and generative AI. It explores applications in natural language processing, computer vision, robotics, and autonomous systems. Learners gain insight into AI’s business uses, limitations, and ethical considerations such as bias and fairness. Through examples and hands-on labs, the course equips learners with foundational knowledge to understand, evaluate, and apply AI responsibly in real-world contexts.
Introduction to Generative AI
This course gives a beginner-friendly overview of generative AI: what it is, how it works, and how it differs from traditional machine learning.Coursera You’ll learn about key model types (like transformers), how they’re used in text, image, and code generation, and how to build simple GenAI apps using Google Cloud tools. Coursera It also covers practical considerations like prompt design, limitations (e.g. hallucinations), and responsible use.
AI Essentials
This beginner-level course covers the fundamentals of AI for non-technical roles. It explains what AI is, why it’s relevant now, and how typical AI projects work. Learners also practice tailoring conversations to customers, understanding different AI personas, and starting discovery discussions. No prior experience is needed.
Python for Data Science, AI & Development
This course introduces Python programming for data science, AI, and development. Learners gain hands-on experience with Python basics, data structures, and libraries like Pandas and NumPy. It covers using APIs, web scraping, and working with Jupyter notebooks. Through practical labs and projects, students build skills to manipulate data, analyze datasets, and prepare for advanced topics in machine learning and AI. No prior programming experience is required, making it ideal for beginners pursuing data and AI careers.
Building AI Powered Chatbots Without Programming
This course teaches learners to design and build AI-powered chatbots without coding, using IBM Watson Assistant. It covers creating conversational flows, training the bot to understand user intents, and integrating chatbots into websites or messaging platforms. Learners also explore adding features like context handling and multi-turn conversations. Through practical labs, they gain hands-on experience deploying functional chatbots, preparing them to apply conversational AI in real-world business scenarios without requiring programming skills.
Contact
Get in touch
Address
5789/9 Mbiza Street, Tembisa, 1632
Call Me
+27 79 599 4399
Email Me
zothagshezi@gmail.com