Khushbakht Noor
@khushbakhtnoor
Computer Science undergraduate specializing in machine learning and full‑stack development.
What I'm looking for
I am a motivated Computer Science undergraduate with practical experience in machine learning, generative AI, and full‑stack web development. I combine academic coursework with hands‑on research and internship work to build applied AI solutions.
I have completed an onsite research internship at KICS – NCAI Lab where I worked with Python, PyTorch, prompt engineering, and model fine‑tuning, and I served as a Teaching Assistant for Programming Fundamentals, supporting labs and grading.
My project work spans web development, systems programming, data scraping, computer vision, voice cloning with diffusion models, and an animated video generator based on research. I am comfortable with front‑end and back‑end frameworks and multiple programming languages.
I bring strong communication and presentation skills, a proven record of completing academic projects, and a desire to contribute to ML/AI and full‑stack teams in roles that emphasize learning, impact, and collaboration.
Experience
Work history, roles, and key accomplishments
Teaching Assistant
UET Lahore
Sep 2024 - Jan 2025 (4 months)
Assisted in programming labs, graded assignments, and supported students in debugging and core programming concepts, improving lab completion and understanding.
Generative AI Intern
KICS - NCAI Lab, UET
Conducted onsite research and hands-on work with generative AI and LLMs using Python and PyTorch, including prompt engineering and model fine-tuning for applied research.
Education
Degrees, certifications, and relevant coursework
University of Engineering and Technology, Lahore
Bachelor of Science, Computer Science
2023 -
Grade: 3.1/4.0
Activities and societies: Academic projects: Library Management System (C#); Econometrica (C++); Data scraping; Solitaire (Python); Learning Management System; Voice cloning using diffusion models; Xe-Bot animated video generator.
Pursuing a Bachelor's degree in Computer Science with coursework and projects in web development, machine learning, and computer vision; expected graduation May 2027.
Availability
Location
Authorized to work in
Job categories
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