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March, 2024 - April 2024
Section Leader
Stanford Code in Place
Remote
Here's a paragraph based on the information in the image: --- As a Section Leader for Stanford Online's "Code in Place 2024," I conducted virtual sessions to teach the Python programming class CS-106A. This role was under the supervision of esteemed professors Mehran Sahami and Chris Piech at Stanford University, providing a valuable opportunity to contribute to the educational experience of students in a highly regarded program.
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Sukkur IBA University
Hyderabad, Pakistan
At Sukkur IBA University, I have been a Faculty Lecturer since January 2024 in Mirpurkhas, Pakistan. I teach courses including "Computer Architecture and Assembly Language Programming," "Design and Analysis of Algorithms (Theory)," and "Object-Oriented Programming (Theory + Lab)," combining theoretical instruction with practical lab experience.
Jan 2024 - May 2024
Faculty Lecturer
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July, 2021 - December 2023
Software engineer
Goddard-Discovery (AI based Startup)
Software Technology Park, Hagenberg, Austria
Designed and developed web and software applications.
Collect data, train ML models to organize, retrieve, and formulate intra-disciplinary research knowledge efficiently and conveniently
Participated in several entrepreneurial competitions
Led cross-functional project teams, effectively managing timelines, resources, and priorities. -
Goddard-Discovery (AI based Startup)
Karachi, Pakistan
Developed webpages for website and software application using HTML, CSS, and JavaScript, ReactJS with a focus on user-friendly design and functionality. Demonstrated a deep understanding of the concept of Literature Based Discovery, applying it to enhance research and data-driven projects.Moreover effectively communicated with team members, sharing updates and seek guidance.
2020 - 2020
Software Engineering Intern
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2020 - 2020
AI Intern
National Center for Artificial Intelligence
Karachi,Pakistan
I focused on leveraging Computer Vision and Deep Learning techniques to enhance the capabilities of a vehicle built on the Arduino platform. This involved developing algorithms for object detection, recognition, and tracking, allowing the vehicle to make real-time decisions based on its surroundings.