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Awais BhattiAB
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Awais Bhatti

@awaisbhatti1

Computer Science student building backend APIs and applying NLP with transformer models.

Pakistan
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What I'm looking for

I’m looking for an entry-level backend role where I can build REST APIs and backend services with Python frameworks like Django/FastAPI, contribute to real products, and keep developing my NLP/ML skills through applied work.

I’m a Computer Science undergraduate with strong foundations in software development and competitive programming. I focus on building backend services and clear, maintainable APIs using modern Python frameworks.

As a Backend Engineering Intern at Emblem Technologies, I designed backend systems for web platforms using Django, built REST APIs with Django Rest Framework, and developed backend services with FastAPI. I enjoy working through real-world backend problems and turning requirements into functional services.

For my final year research, I worked on a deep learning-based machine translation approach for code-mixed Roman Urdu-English to Urdu. I implemented and fine-tuned multilingual transformer models (M2M-100, NLLB-200, and Phi-3.5) and built a complete pipeline in Python for preprocessing, training, evaluation, and benchmarking.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

Superior University Lahore logoSL

Superior University Lahore

Bachelor of Science, Computer Science

2022 - 2026

Grade: GPA: 3.84 / 4.00

Activities and societies: Final year project (research): Neural Machine Translation for Roman Urdu-English to Urdu. Fine-tuned M2M-100, NLLB-200, Phi-3.5; handled transliteration/code-switching and limited annotated datasets; built Python preprocessing, training, evaluation & benchmarking pipeline.

Bachelor of Science in Computer Science with a final-year research project on deep learning-based machine translation for code-mixed Roman Urdu-English into Urdu. Implemented and fine-tuned transformer-based multilingual NMT models and built the end-to-end pipeline in Python for training and evaluation.

Tech stack

Software and tools used professionally

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