Syed Ali Tariq
Scholar

Syed Ali Tariq

Google Scholar ID: LqOaxKIAAAAJ
COMSATS University, Islamabad
Deep learningExplainable AIComputer visionImage processing
Citations & Impact
All-time
Citations
427
 
H-index
10
 
i10-index
10
 
Publications
18
 
Co-authors
10
list available
Resume (English only)
Academic Achievements
  • No specific academic achievements mentioned such as publications, awards, patents, etc.
Research Experience
  • 1. AI Team Lead / AI Consultant (May 2023 – Present): SwipBox Pakistan Pvt. Ltd., Islamabad, Pakistan, Owns AI strategy, architecture, and delivery across forecasting, optimization, and analytics.
  • 2. Artificial Intelligence Engineer (Feb 2023 – Apr 2023): SwipBox Pakistan Pvt. Ltd., Islamabad, Pakistan, Trained and optimized models for classification, detection, and segmentation.
  • 3. Computer Vision Engineer (May 2022 – Jan 2023): House of Technology Pvt. Ltd., Islamabad, Pakistan, Worked on computer vision projects and research proposals.
  • 4. Research Associate (Mar 2020 – Apr 2022): Medical Imaging and Diagnostics Lab (MIDL), NCAI, Participated in various research projects.
Education
  • 1. Doctor of Philosophy — Computer Science (2019-2025): COMSATS University, Islamabad, Pakistan, Area: Explainable Artificial Intelligence (XAI), Thesis: Counterfactual and Contrastive Explainability of CNNs for High-Risk Domains.
  • 2. Master of Science — Computer Science (2014-2017): Abasyn University, Islamabad, Pakistan, CGPA 3.87/4.0 (Gold Medalist), Thesis: Palmprint matching using GPU.
  • 3. Bachelor of Science — Computer & Information Sciences (2007-2012): Pakistan Institute of Engineering and Applied Sciences (PIEAS), Islamabad, Pakistan, Final Year Project: Job Portal website.
Background
  • AI Team Lead and XAI researcher with 7+ years building computer vision, forecasting, and optimization systems. Recently completed a Ph.D. in Computer Science (Explainable AI) at COMSATS University Islamabad (2025). At SwipBox Pakistan, leads AI initiatives end-to-end — from data pipelines and model training to MLOps, AWS deployments, and audit-ready governance. Loves turning research into production: unlocking value with transparent models, reproducible workflows, and measurable business impact.
Miscellany
  • Birthday: 17 Sep 1988
  • Phone: +92 313 5155 012
  • City: Rawalpindi, Pakistan
  • Age: 37
  • Email: s.alitariq1@gmail.com
  • Skills include Python, PyTorch, TensorFlow, FastAPI/Flask, Polars/Pandas, SQL, Data Engineering, GitHub, Docker, Linux, etc.