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Zain ul abdeenZA
Open to opportunities

Zain ul abdeen

@zainulabdeen

Motivated entry-level AI Engineer with a solid academic background.

Pakistan
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What I'm looking for

I am looking for a collaborative environment that fosters innovation and growth.

I am a motivated entry-level AI Engineer currently pursuing my Bachelor's degree in Artificial Intelligence at Ghulam Ishaq Khan Institute of Engineering Sciences and Technology. With a strong academic record, maintaining a CGPA of 3.54, I have developed a solid foundation in advanced topics such as machine learning and data science.

During my recent internship as an AI Engineer, I successfully developed Python-based machine learning models using TensorFlow and scikit-learn, improving prediction accuracy by 15% on test datasets. I also integrated data pipelines with Pandas and NumPy, which streamlined preprocessing and reduced manual data handling by 30%. My hands-on experience in data analysis and model development through academic projects has equipped me with strong analytical and problem-solving skills.

I am eager to contribute my technical expertise and passion for innovation as a Software Engineering Intern at BiLLWERK+. I thrive in collaborative environments and am excited to explore opportunities that allow me to further develop my skills and make a meaningful impact in the field of AI.

Experience

Work history, roles, and key accomplishments

BI

AI Engineer (Intern)

BiLLWERK+

Jun 2023 - Present (3 years)

Developed Python-based machine learning models using TensorFlow and scikit-learn, improving prediction accuracy by 15% on test datasets. Integrated data pipelines with Pandas and NumPy, streamlining preprocessing and reducing manual data handling by 30%.

Education

Degrees, certifications, and relevant coursework

GT

GHULAM ISHAQ KHAN INSTITUTE OF ENGINEERING SCIENCES AND TECHNOLOGY

Bachelor, Artificial Intelligence

Grade: 3.54

Currently pursuing a Bachelor's degree in Artificial Intelligence. The curriculum focuses on advanced topics in AI, machine learning, and data science. Maintaining a strong academic record with a CGPA of 3.54.

PC

PUNJAB COLLEGE

FSC Pre-Engineering, Pre-Engineering

Grade: 90%

Completed FSC Pre-Engineering, focusing on foundational subjects essential for higher education in engineering and sciences. Achieved a strong academic performance with a 90%.

Tech stack

Software and tools used professionally

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