# Muhammad Huzaifa Shahbaz **Senior AI Software Engineer** Correspondence and profiles: [https://mhuzaifa.com](https://mhuzaifa.com) · [LinkedIn](https://linkedin.com/in/mhuzaifadev) · [GitHub](https://github.com/mhuzaifadev) PDF résumé: [https://mhuzaifa.com/Huzaifa-Resume.pdf](https://mhuzaifa.com/Huzaifa-Resume.pdf) --- ## Abstract Senior AI Software Engineer with more than four years of experience building scalable backend systems and deploying applied AI in production, including real-time systems serving tens of thousands of users. Technical emphasis includes FastAPI backends, real-time architectures, and LLM-powered workflows; cloud-native delivery on AWS with Docker and Kubernetes; and self-hosted AI inference. Motivated to contribute on high-impact, globally distributed engineering teams and open to relocation across Europe. **Keywords:** applied artificial intelligence; backend engineering; real-time systems; large language models; cloud-native systems; software engineering --- ## 1. Education **Sir Syed University of Engineering & Technology**, Karachi — **Bachelor of Science in Software Engineering** (2019–2023). - Graduated *cum laude*, top 10% of the cohort. - Final-year project: breast cancer diagnosis using AI on mammography and ultrasonography; highest FYP score with 4.0 GPA equivalent on the project component. Full thesis deposit: **DOI:** [10.6084/m9.figshare.22340170.v1](https://doi.org/10.6084/m9.figshare.22340170.v1) Resolver: [https://doi.org/10.6084/m9.figshare.22340170.v1](https://doi.org/10.6084/m9.figshare.22340170.v1) --- ## 2. Professional appointments (selected) Experience summarized from the online curriculum vitae; dates and venues follow the résumé page. | Period | Role | Organization | Location | |--------|------|--------------|----------| | Oct 2024 – Present | AI Systems Engineer | Digital Dividend Global | Karachi, Hybrid | | Oct 2023 – Sep 2024 | Backend Engineer; Associate Backend Developer (Python) | Lenaar Digital LLC | Boca Raton, FL, USA | | Jan 2022 – Jun 2022 | AI Associate Researcher (onsite) | AKDN dHRC, Aga Khan University Hospital | Karachi, Pakistan | | May 2020 – Oct 2020 | ML Research Intern (remote) | Virufy Organization | San Jose, CA, USA | Representative technical themes: recommendation and personalization (e.g., Redis, experimentation), IoT and telemetry backends, WebSocket platforms at large concurrency, containerized deployments and automation (Docker, Kubernetes), RAG and workflow automation, and on-device / quantized model prototyping. --- ## 3. Honors and outreach (selected) - **2024** — USD 25,000 Azure credits (Microsoft for Startups Founders Hub; Transpify). - **2023** — First place, final-year project competition, Sir Syed University of Engineering & Technology. - **2020–2022** — Mentored 1000+ students in AI/ML via Google Developer Student Clubs and Microsoft Learn Student Ambassadors. Professional certifications (issuer-verified credentials) include Google AI Essentials, DeepLearning.AI voice agents for production, DataCamp tracks, Microsoft Azure fundamentals and Azure AI fundamentals, Scrimba frontend career path, and IBM Coursera specializations in machine learning and deep learning; see the live résumé for credential URLs. --- ## References Peer-reviewed and deposited scholarly outputs and related publications, in bibliography order. **DOIs resolve through https://doi.org/…** (International DOI Foundation). ### Journal articles 1. Ali, U., Kandhro, I. A., Ahmed, R. S., Khan, A. A., Shahbaz, M. H., Osama, M. The Future of Third Web: A Role of Blockchain and Web 3.0. **DOI:** [10.1504/IJESDF.2025.145880](https://doi.org/10.1504/IJESDF.2025.145880) Link: [https://doi.org/10.1504/IJESDF.2025.145880](https://doi.org/10.1504/IJESDF.2025.145880) 2. Mahboob, K., Shahbaz, M. H., Ali, F., Qamar, R. Predicting the Karachi Stock Price index with an Enhanced multi-layered Sequential Stacked Long-Short-Term Memory Model. *VFAST Transactions on Software Engineering*, vol. 11, no. 2, pp. 249–255, Jun. 2023. **DOI:** [10.21015/vtse.v11i2.1571](https://doi.org/10.21015/vtse.v11i2.1571) Link: [https://doi.org/10.21015/vtse.v11i2.1571](https://doi.org/10.21015/vtse.v11i2.1571) ### Conference papers 3. Shahbaz, M. H., Zain-Ul-Abidin, Mahboob, K., Ali, F. Enhancing Contextualized GNNs for Multimodal Emotion Recognition: Improving Accuracy and Robustness. In *2023 7th International Multi-Topic ICT Conference (IMTIC)*, Jamshoro, Pakistan, 2023, pp. 1–7. **DOI:** [10.1109/IMTIC58887.2023.10178481](https://doi.org/10.1109/IMTIC58887.2023.10178481) Link: [https://doi.org/10.1109/IMTIC58887.2023.10178481](https://doi.org/10.1109/IMTIC58887.2023.10178481) 4. Mubeen, T., Zain-Ul-Abidin, Shahbaz, M. H., Roth, P. O., Nieto, M. A. L. Analyzing the Classification Performance of DenseNet121 on Pre-processed MIAS Dataset. In *2023 Global Conference on Wireless and Optical Technologies (GCWOT)*, Malaga, Spain, 2023, pp. 1–7. **DOI:** [10.1109/GCWOT57803.2023.10064663](https://doi.org/10.1109/GCWOT57803.2023.10064663) Link: [https://doi.org/10.1109/GCWOT57803.2023.10064663](https://doi.org/10.1109/GCWOT57803.2023.10064663) ### Thesis (undergraduate) 5. Shahbaz, M. H., Ul Abidin, Z., Marfani, U., Abbasi, M., Mubeen, T. *Mammory — Breast Cancer Detection using AI on Mammography & Ultrasonography — Final Year Project Report*. Sir Syed University of Engineering & Technology (SSUET). **DOI:** [10.6084/m9.figshare.22340170.v1](https://doi.org/10.6084/m9.figshare.22340170.v1) Link: [https://doi.org/10.6084/m9.figshare.22340170.v1](https://doi.org/10.6084/m9.figshare.22340170.v1) ### Monograph (trade; no DOI assigned) 6. Shahbaz, M. H., Baig, R. W., Zain-ul-Abidin. *PyKids 2023*. ISBN 9798390752586 (Amazon Kindle). Publisher listing: [https://www.amazon.com/dp/B0C1YBFWZV](https://www.amazon.com/dp/B0C1YBFWZV) --- ## Document provenance This Markdown digest was produced in publication-summary form from the materials presented on the author’s résumé page ([`/resume`](https://mhuzaifa.com/resume)) and the structured publication metadata in the site source (`PublicationsSection`). 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