Shaista Shabbir · AI/ML Engineer & NLP Researcher

Curriculum Vitae – Shaista Shabbir

📍 Hamburg, Germany
✉️ shaista.s.shabbir@gmail.com
📞 +49 15906171828
🔗 LinkedIn
💻 GitHub

Lecturer and Researcher in Computer Science with 9+ years of experience in academia, software engineering, and AI research. Expertise in AI explainability (AIX framework), federated learning, FAIR data principles, generative AI, and software architectures. Strong record of teaching Algorithms, Compiler Construction, Automata Theory, OOP, and Data Structures at BSCS and MSc levels. Published in cloud computing, forecasting, smart grid optimization, and distributed AI systems. Holder of federal merit scholarship, Logixier Advanced AI Systems certification, and Gold Medalist in Computer Science.

Projects

Highlighted open‑source work (auto‑fetched from GitHub). Prioritized: AIX.

Education

MSc Computer Science
Virtual University of Pakistan — 2020
Federal Govt Merit Scholarship
BSc Computer Science
University of Azad Jammu & Kashmir — 2016
Gold Medalist
MA Education (Distance & Non‑Formal Education)
Allama Iqbal Open University — 2020

Awards & Certifications

Gold Medalist – BSc Computer Science, University of AJK
Federal Government Merit Scholarship – MSc Computer Science
DAAD/HEC Fully‑Funded PhD Scholarship (awarded, deferred)
Logixier Certification in Advanced AI Systems (2025)
Advanced certifications in NLP, ML, and Data Science (2023–2025)

Research & Academic Experience

Lecturer — University of Kotli AJK

2019 – Present

Taught Algorithms, Data Structures, Compiler Construction, OOP, Automata to BSCS & MSc students.
Supervised 15+ theses in AI, SE, and digital systems; integrated project‑based learning.
Mentoring frameworks for student success and research readiness.

Research Assistant — HITeC, University of Hamburg

Nov 2022 – Dec 2024

AI explainability experiments (AIX framework). GitHub: AIX
Federated learning for privacy‑preserving AI; FAIR data principles for reproducibility.
Microservices architectures & MLOps pipelines for Generative AI.

Lecturer & CMS Coordinator — Punjab College

2017 – 2019

Taught CS fundamentals; coordinated CMS implementation and training.

Research Assistant — COMSENS Lab, COMSATS Islamabad

2019

Data analysis & research in AI‑driven optimization and forecasting.

Software Engineer — UMSIT, Kotli AJK

2015 – 2016

Full‑stack developer for government licensing management system; requirements, documentation, testing, deployment.

Publications

Virtual Machine Placement via Bin Packing in Cloud Data Centers. Electronics, 2018 — Find DOI
Data Analytics for Load and Price Forecasting via Enhanced SVR. EIDWT 2019 — Find DOI
Efficient Resource Allocation Model for Residential Buildings in Smart Grid using Fog & Cloud Computing. IMIS 2018 — Find DOI
Wind Power Forecasting using Deep CNNs. 3PGCIC 2019 — Find DOI

Download BibTeX

Contact

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