Imran Ashraf

About me

I am a recent Software Engineering graduate (CGPA 3.80), recognized as a Batch Topper and Merit Scholarship recipient, with a strong academic foundation in Artificial Intelligence, Machine Learning, and core software engineering disciplines. I have hands-on experience mentoring student projects, supporting laboratory work, and contributing to peer-reviewed research published in IEEE, Nature Scientific Reports, and Springer, with exposure to international conferences. Proficient in Python, Java, C++, SQL, and modern AI/ML frameworks, I effectively bridge theoretical knowledge with practical implementation. I am highly committed to academic excellence, effective teaching, and student mentorship, with a strong focus on cultivating analytical thinking, problem-solving skills, and impactful learning experiences, and I am actively seeking opportunities in software engineering, AI/ML research, or academic support roles where I can contribute and continue to grow professionally.

Supervised Students

120+

Publications

8+

Peer Reviews

13+

Projects

20+

Core Expertise

AI & Deep Learning

Model training, evaluation, reproducible pipelines, strong experimentation habits.

NLP & Transformers

Sequence modeling, LLM tooling, preprocessing, practical NLP systems.

Full-Stack Engineering

Next.js, Firebase, Laravel, Tailwind — scalable, maintainable production apps.

Research Writing

Paper structuring, mentoring juniors, manuscript review, consistent reporting.

Deployment

Vercel-first workflow, admin panels, secure rules, optimized UX.

Mentorship

Student guidance, lab support, analytical thinking, problem solving.

Experience

Education

Featured Projects

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Featured Events

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Featured Research

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Highlights & Recognition