About
AI Team Lead and XAI researcher with 7+ years building computer vision, forecasting, and optimization systems. I recently completed my Ph.D. in Computer Science (Explainable AI) at COMSATS University Islamabad (2025). At SwipBox Pakistan, I lead AI initiatives end‑to‑end — from data pipelines and model training to MLOps, AWS deployments, and audit‑ready governance. I love turning research into production: unlocking value with transparent models, reproducible workflows, and measurable business impact.
AI Leadership • Explainable AI • Computer Vision & Forecasting
- Birthday: 17 Sep 1988
- Phone: +92 313 5155 012
- City: Rawalpindi, Pakistan
- Age: 37
- Degree: Ph.D. (Computer Science)
- Email: s.alitariq1@gmail.com
I’ve delivered systems across classification, detection, and segmentation; built forecasting models for demand and capacity planning; and designed optimization algorithms for balancing locker networks. Tooling & ecosystem: Python, PyTorch, TensorFlow, FastAPI/Flask, Polars, LightGBM, Optuna, MLflow, AWS (Lambda, S3, ECR, EC2, CodeBuild), Docker, and GitHub Actions.
Facts
Years Of Experience AI, CV & DL
Projects
Research publications
Citations
Skills
Resume
Summary
Ali Tariq
Ph.D. in Explainable AI (COMSATS, 2025). AI Team Lead delivering production-grade AI systems for logistics and operations: forecasting, network optimization, and customer support automation. I design robust MLOps, emphasize explainability and auditability, and lead teams to measurable outcomes.
- Rawalpindi, Pakistan
- (+92) 313-5155012
- s.alitariq1@gmail.com
Education
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
Master of Science — Computer Science
2014 – 2017
Abasyn University, Islamabad, Pakistan
CGPA 3.87/4.0 (Gold Medalist)
Thesis: Palmprint matching using GPU
Bachelor of Science — Computer & Information Sciences
2007 – 2012
Pakistan Institute of Engineering and Applied Sciences (PIEAS), Islamabad, Pakistan
Final Year Project: Job Portal website
Professional Experience
AI Team Lead / AI Consultant
May 2023 – Present
SwipBox Pakistan Pvt. Ltd., Islamabad, Pakistan
- Own AI strategy, architecture, and delivery across forecasting, optimization, and analytics.
- Built Utilization Optimizer and Network Reallocator (impact estimation for moving lockers).
- Deployed multi-customer FastAPI/Lambda services with S3‑backed data pipelines and Docker images (ECR).
- Implemented MLflow tracking, experiment governance, and CI/CD with CodeBuild & GitHub Actions.
- Developed RAG-based customer support chatbot (LangChain/Bedrock) and CloudWatch Log Analyzer for daily system health summaries.
- Led audit preparation (ISO 9001/27001 readiness), security reviews, and SonarQube-based code quality.
Artificial Intelligence Engineer
Feb 2023 – Apr 2023
SwipBox Pakistan Pvt. Ltd., Islamabad, Pakistan
- Trained and optimized models for classification, detection, and segmentation.
- Data extraction/validation and XAI-driven model evaluation.
- Developed tooling for versioned model analysis and post-processing.
Computer Vision Engineer
May 2022 – Jan 2023
House of Technology Pvt. Ltd., Islamabad, Pakistan
- Worked on computer vision projects and research proposals.
- 360° VR video compression (VVC/H.266) and DRL-assisted compression.
Research Associate
Mar 2020 – Apr 2022
Medical Imaging and Diagnostics Lab (MIDL), NCAI, COMSATS University
- Led development of TB/COVID detection using X-ray and CT; authored papers and proposals.
- Directed small teams and coordinated field data collection with hospitals/labs.
Research Assistant / Software Design Engineer
May 2016 – Mar 2019
House of Technology Pvt. Ltd., Islamabad, Pakistan
- Projects in TB identification, surgical telementoring (HEVC), biometrics, and CUDA acceleration.
Portfolio
TB detection using vision-transformer
while employed at MIDL-NCAI
- Trained state-of-the-art vision-transformer based architectures for TB classification and detection tasks
- Achieved first position in TBX11K TB detection and classification challenge with 98% classification accuracy and 61% average precision of BBox.
- Paper writing in progress.
Ph.D. Research
Explainable AI
- Extract knowledge from black-box DCNN models.
- Provide counterfactual and contrastive reasoning of DCNN model decisions.
- Improve transparency for high-risk applications.
- Enable model debugging and repair.
Pulmonary Diagnostic System (PDS)
Flask based web app
- PDS is a Flask based web app designed to identify abnormal xrays and CT scans.
- Detects TB, COVID-19, Pneumonia, and up to 14 common lung abnormalities.
- Displays heatmap for locating disease regions.
- Developed using Python, Flask, Tensorflow, Bootstrap.
- Deployed on MS Azure cloud platform using Github Actions.
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Advanced Topics in Artificial Intelligencetaken during Ph.D. study
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Advanced Topics in Digital Image Processingtaken during MS and Ph.D. studies
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Advanced Topics in Computer Visiontaken during MS and Ph.D. studies
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Machine Learningtaken during Ph.D. study
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Special Topics in Image Processingtaken during Ph.D. study
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Special Topics in Neural Networkstaken during Ph.D. study
Publications
I have published 12+ research articles on various computer vision problems; more in preparation in XAI and medical imaging.
- M. Ghafoor, S.A. Tariq, et al., "Fingerprint Identification with Shallow Multi-feature View Classifier”, IEEE Transactions on Cybernetics, 2019
- T. Zia, M. Ghafoor, S.A. Tariq, I.A. Taj, “Robust Fingerprint Classification with Bayesian Convolutional Networks”, IET Image Processing, 2019
- Z. Abideen, M. Ghafoor, et al., “Uncertainty Assisted Robust Tuberculosis Identification with Bayesian CNNs”, IEEE Access, 2020
- N. A. Khan, M. Ghafoor, M. Mohammadi, and S.A. Tariq, “CNN-based Time-Frequency Image Enhancement for EEG Analysis”, Multidimensional Systems and Signal Processing, 2022
- S.A. Tariq, S. Iqbal, M. Ghafoor, et al., “Massively Parallel Palmprint Identification using GPU”, Cluster Computing, 2017
- M. Ghafoor, S. Iqbal, S.A. Tariq, et al., “Efficient Fingerprint Matching Using GPU”, IET Image Processing, 2017
- M. Ghafoor, S.A. Tariq, S. Iqbal, I. A. Taj, N. M. Jafri, “Robust Palmprint Identification using Efficient Preprocessing and Two‑stage Matching”, IET Image Processing, 2020
- M. Shafiq, I. A. Taj, M. Ghafoor, S.A. Tariq, et al., “Accelerating Fingerprint Identification using FPGA for Large‑scale Applications”, JPDC, 2020
Testimonials
Dr. Mubeen Ghafoor
CEO
House of Technology Pvt. Ltd.
Dr. Tehseen Zia
Assistant Professor
COMSATS University Islamabad
Dr. Waqas Ahmad
Post-doc Researcher
Mid Sweden University
Contact
Location:
Askari-14, Rawalpindi, Pakistan
Email:
s.alitariq1@gmail.com
Call:
+92 313 5155 012