# Muhammad Huzaifa Shahbaz — extended context

> Longer public context for Muhammad Huzaifa Shahbaz. The short index is https://mhuzaifa.com/llms.txt.
> Last updated: 2026-09-28.

Employment on this file matches the resume. Corroborate a claim at the URL next to it rather than treating this file as a substitute for those pages.

## Identity

Muhammad Huzaifa Shahbaz (mhuzaifadev) is a Senior AI Software Engineer with 4+ years building scalable backend systems and deploying applied AI in production, including real-time systems serving tens of thousands of users. He is based in Pakistan and open to EU relocation (EU Blue Card eligible). He builds with FastAPI, Django, Python, AWS, Docker, and Kubernetes, and works on LLM-powered workflows, agentic AI, voice AI, and real-time systems.

Name variants for the same person:
- Muhammad Huzaifa
- M. Huzaifa Shahbaz
- M. Huzaifa
- M. H. Shahbaz
- Huzaifa Shahbaz
- Huzaifa
- mhuzaifadev
- mhuzaifa

- Nationality: Pakistani
- Languages: English, Urdu
- Location: Karachi, Pakistan
- EU Blue Card eligible, open to relocation in Europe

## Current employment

### Digital Dividend Global — AI Systems Engineer (Sep 2024 – Present, Remote, USA)

Sweden-based digital transformation company.
Builds production backend and AI systems: recommendation engines, IoT telemetry, real-time WebSocket platforms, voice AI, and internal ops automation.

- Designed and built the OptyAI recommendation engine for OptySleep using Redis caching, A/B testing, and Sentence-BERT semantic similarity — about a 70% boost in iOS app engagement, better retention, and higher subscription renewals.
- Delivered the Staging Pro IoT backend (Django, PostgreSQL, Redis) with live telemetry processing under 100ms latency for real-time race coordination.
- Built PseudoCompiler, a WebSocket platform (FastAPI, AWS) scaling to 50,000+ concurrent users with under 50ms translation latency, and reduced AWS costs by about 35%.
- Led backend and AI/IoT workstreams for a 3-engineer team and introduced containerized deployments (Docker, Kubernetes).
- Automated operational workflows with RAG and n8n, saving about 8 hours per week.
- Prototyped lightweight quantized LLMs (PyTorch, Ollama) for on-device inference on IoT hardware, and is evaluating FunctionGemma for agentic workflows.
- Building Voca, a B2B outbound AI voice agent with CRM webhooks, and CarBNB, a car rental app for Gulf and South Asian markets.

Resume: https://mhuzaifa.com/resume

## Previous employment

### Lenaar Digital LLC — Backend Engineer (Oct 2023 – Aug 2024, Boca Raton, FL, USA)

- Architected hybrid systems (monolith plus microservices) on Azure with Kubernetes, scaling to 100k–1M+ users.
- Built ViralMe Studio (viralme.studio), a browser video editor with Remotion, OpenCV, and FFMPEG, cutting turnaround from hours to minutes.
- Deployed self-hosted LLMs and Whisper via Ollama and optimized GPU usage for cheaper inference.
- Developed multi-agent video pipelines (YOLOv12, DeepSORT, SAM2, RabbitMQ, and LLM agents) at about 20–25 FPS with automated tagging.
- Automated workflows and background workers for Fortify ERP (fortify.biz), cutting manual reconciliation and data sync by about 50%.

### Lenaar Digital LLC — Associate Backend Developer (Python) (Jul 2022 – Sep 2023, Boca Raton, FL, USA)

- Designed REST APIs and microservices (FastAPI, Django, Postgres, Redis, Firebase) and improved reliability and throughput.
- Implemented CI/CD with GitHub Actions and Docker, shortening release cycles by about 40%.
- Migrated services to cloud infrastructure and built dashboards that improved issue detection by about 30%.

### AKDN Digital Human Development Programme, Aga Khan University Hospital — AI Associate Researcher (Jan 2022 – Jun 2022, Karachi, Pakistan)

- Built ML pipelines for AI-assisted breast cancer diagnosis, reported at 92% accuracy, and reduced review time by 87%.
- Worked in a lab incubation environment tied to final-year research with Aga Khan University Hospital.
- Developed tools for automated triage, sorting, and tagging of radiology images.

### Virufy — ML Research Intern (May 2020 – Oct 2020, Remote, San Jose, CA, USA)

- Prepared and analyzed breath and cough audio for early COVID-19 detection using signal processing.
- Reported 89% accuracy on an early prototype.
- Built a Flask prototype using ensemble models, under supervision associated with Stanford University and DetectCovid.

## Education

Bachelor of Science in Software Engineering — Sir Syed University of Engineering and Technology (SSUET), Karachi, Pakistan, 2019–2023.
Graduated Cum Laude, top 10% of the batch.
Final-year project: Mammory — breast cancer detection using AI on mammography and ultrasonography (4.0 GPA equivalent on the project).
Thesis: https://doi.org/10.6084/m9.figshare.22340170.v1

## Projects

### Staging Pro 2.0

Production-grade IoT backend system for real-time race event coordination. Processes live telemetry with <100ms latency, enabling race coordinators to manage concurrent events, control staging sequences, and broadcast safety flags to connected devices.

- Portfolio: https://mhuzaifa.com/portfolio/staging-pro
- Stack: Django, PostgreSQL, Python, Docker, GitHub Actions, Nginx, AWS
- https://apps.apple.com/us/app/staging-pro/id6503903450
- https://apkpure.net/staging-pro/com.stagingpro

### OptyAI for OptySleep

Built OptyAI—a custom recommendation engine from scratch that powers personalized sleep insights. Achieved ~70% boost in engagement, improved retention, and higher subscription renewals through Redis caching, A/B testing, and semantic similarity techniques.

- Portfolio: https://mhuzaifa.com/portfolio/optysleep
- Stack: FastAPI, Python, Docker, Firebase
- https://apps.apple.com/us/app/optysleep/id6458265948
- https://optiself.co/

### Voca — Outbound AI Voice Calling Agent

Voca is a B2B outbound AI voice calling platform for campaign creation, lead filtration, lead management, and automated cold calling at $0.10/min — cutting large-scale outreach costs for software, pharma, insurance, and debt collection teams. Multilingual voice agents with CRM-ready workflows.

- Portfolio: https://mhuzaifa.com/portfolio/ai-voice-call-agent
- Stack: Python, FastAPI, Retell AI, CRM Integration, Webhooks
- https://voca.codefied.online

### ViralMe Studio

Real-time video editor on the web using Remotion. Edit, preview, and render videos directly in the browser with AI-informed effects. Features include 2-minute transitions from long videos to multiple reels, motion graphics, background noise removal, and more.

- Portfolio: https://mhuzaifa.com/portfolio/viralme-studio
- Stack: Remotion, Node.js, Python, FastAPI, Ollama, Docker, RabbitMQ, Kubernetes, OpenCV, Nginx, Azure, MongoDB
- https://viralme.studio

### PseudoCompiler

Online platform for real-time AQA Pseudo to Python 3 translation with live execution and output visualization. Features complex lexical code translation with integrated AI chat for error detection and code assistance.

- Portfolio: https://mhuzaifa.com/portfolio/pseudocompiler
- Stack: Python, Node.js, Docker, FastAPI, OpenAI, LangChain, MongoDB
- https://pseudocompiler.org

### AI Legal Assistant

Built a Gemini-powered Legal AI Assistant with RAG (Retrieval-Augmented Generation) capabilities. Provides intelligent legal document analysis, question answering, and document retrieval using advanced language models and vector search.

- Portfolio: https://mhuzaifa.com/portfolio/ai-legal-assistant
- Stack: Next.js, Gemini, LangChain, MongoDB
- https://legal-ai.sajjaduddin.site/

### SQL AI Agent

Natural Language to SQL compiler enabling non-technical teams to query databases instantly. Enforces strict schema validation and structural output guarantees to prevent hallucinations and SQL injection risks.

- Portfolio: https://mhuzaifa.com/portfolio/sql-ai-agent
- Stack: Python, LangChain, PostgreSQL, OpenAI, Gemini
- https://github.com/mhuzaifadev/ai-sql-agent

### Remove BG

Forever free background remover powered by U2Net deep learning model. Remove backgrounds from images instantly with a simple PWA interface connected to a FastAPI backend.

- Portfolio: https://mhuzaifa.com/portfolio/removebg
- Stack: FastAPI, Python, Next.js, Cloudflare, Nginx
- https://removebg.mhuzaifa.com

## Publications

Catalog: https://mhuzaifa.com/publications

### AI-Assisted Seismic Performance Assessment Of Sustainable High-Rise Structures Using Smart Material Technologies In Pakistan

- Authors: M. H. Shahbaz, Nadeem Ullah, M. Ahmed
- Venue: Spectrum of Engineering Sciences ISSN (e)3007-3138 (p)3007-312X vol. 4, no. 5, pp 1724–1734, 2026
- DOI: https://doi.org/10.5281/zenodo.20305243
- Record: https://doi.org/10.5281/zenodo.20305243
- On-site: https://mhuzaifa.com/publications#ses-v4-2026

### The Future of Third Web: A Role of Blockchain and Web 3.0

- Authors: Ali, U., Kandhro, I.A., Ahmed R.S., Khan, A.A. Shahbaz, M.H. Osama, M.
- Venue: International Journal of Emerging Sciences and Digital Economy (IJESDF), vol. 17, no. 3, pp 391-403, April 2025
- DOI: https://doi.org/10.1504/IJESDF.2025.145880
- Record: https://doi.org/10.1504/IJESDF.2025.145880
- On-site: https://mhuzaifa.com/publications#ijesdf-2025-web3

### Predicting the Karachi Stock Price index with an Enhanced multi-layered Sequential Stacked Long-Short-Term Memory Model

- Authors: K. Mahboob, M. H. Shahbaz, F. Ali, and R. Qamar
- Venue: VFAST Transactions on Software Engineering, vol. 11, no. 2, pp. 249–255, Jun. 2023
- DOI: https://doi.org/10.21015/vtse.v11i2.1571
- Record: https://doi.org/10.21015/vtse.v11i2.1571
- On-site: https://mhuzaifa.com/publications#vtse-2023-lstm-karachi-stock

### Enhancing Contextualized GNNs for Multimodal Emotion Recognition: Improving Accuracy and Robustness

- Authors: M. H. Shahbaz, Zain-Ul-Abidin, K. Mahboob and F. Ali
- Venue: 2023 7th International Multi-Topic ICT Conference (IMTIC), Jamshoro, Pakistan, 2023, pp. 1-7
- DOI: https://doi.org/10.1109/IMTIC58887.2023.10178481
- Record: https://doi.org/10.1109/IMTIC58887.2023.10178481
- On-site: https://mhuzaifa.com/publications#imtic-2023-gnn-emotion

### Analyzing the Classification Performance of DenseNet121 on Pre-processed MIAS Dataset

- Authors: T. Mubeen, Zain-Ul-Abidin, M. H. Shahbaz, P. O. Roth and M. A. L. Nieto
- Venue: 2023 Global Conference on Wireless and Optical Technologies (GCWOT), Malaga, Spain, 2023, pp. 1-7
- DOI: https://doi.org/10.1109/GCWOT57803.2023.10064663
- Record: https://doi.org/10.1109/GCWOT57803.2023.10064663
- On-site: https://mhuzaifa.com/publications#gcwot-2023-densenet-mias

### PyKids 2023

- Authors: Shahbaz, M. H., Baig, R. W., Zain-ul-Abidin
- Record: https://www.amazon.com/dp/B0C1YBFWZV
- On-site: https://mhuzaifa.com/publications#pykids-2023

### Mammory - Breast Cancer Detection using AI on Mammography & Ultrasonography - FYP Report

- Authors: M. H. Shahbaz, Z. Ul Abidin, U. Marfani, M. Abbasi, T. Mubeen
- Institution: Sir Syed University of Engineering & Technology (SSUET)
- DOI: https://doi.org/10.6084/m9.figshare.22340170.v1
- Record: https://doi.org/10.6084/m9.figshare.22340170.v1
- On-site: https://mhuzaifa.com/publications#mammory-fyp-thesis

## Skills

- Languages: Python, TypeScript, JavaScript, C++, SQL
- Backend: FastAPI, Django, Flask, Node.js, Express.js
- AI: PyTorch, TensorFlow, Keras, scikit-learn, OpenCV, Hugging Face, LangChain, Ollama, YOLO, SAM2, DeepSORT, Whisper
- Cloud: AWS, Azure, GCP, Docker, Kubernetes, GitHub Actions, Terraform
- Data: PostgreSQL, MySQL, MongoDB, Redis, Firebase, Supabase, RabbitMQ
- Real-time: WebSockets, MQTT, Signal processing, Telemetry systems

## Community

- Microsoft Learn Student Ambassador (Jan 2020 – Mar 2023). Workshops, events, and mentorship across AI, machine learning, and cloud technologies.
- Google Developer Group Lead (Jul 2020 – Jul 2021). Co-established the SSUET student community and led it through 2021. Hosted 150 workshops, with 100 delivered as lead trainer in AI, and personally trained 1,000+ students.

## Certifications

- Google AI Essentials (Google, Sep 2025) — credential E6UCVIDJ304D
- Building AI Voice Agents for Production (DeepLearning.AI, Jun 2025)
- Microsoft Certified: Azure AI Fundamentals (Jan 2021) — credential wnYYD-48DY
- Microsoft Certified: Azure Fundamentals (Dec 2020) — credential wnqmz-48Eq
- Associate Data Scientist (DataCamp, Aug 2020)
- Machine Learning with Python (IBM, May 2020) — credential MSCK8JQR7F4U
- Deep Learning with Keras and TensorFlow (IBM, Jun 2020) — credential LF8WBDPL6S3M

## Quotes published on the site

These are testimonials displayed on mhuzaifa.com. The designation is the one published with the quote.

> "Huzaifa is one of the best Applied AI Engineer our firm has met, where he has exceptionally consulted and assisted us in many AI-first products. Even today, if and whenever we have a need to consult for anything in AI, or just seek out any assistance - Huzaifa is our first bet to go with and will always be. One of those great engineers, who will keep the thought of business process while develops the backend operation of any product."
> — Rohail Naveed, Founder & CEO @ Codefied

> "Working with Huzaifa on projects is extremely fun, collaborative, and productive. He's always seeking new information, and I always find myself surprised by the amount of knowledge he holds. The best part is that he will always get the work done, no matter how short the deadline is."
> — Zain Ul Abidin, Senior Product Manager @ Jazz Cash

> "Huzaifa is one of the best colleagues I’ve ever worked with. He’s incredibly collaborative, with a real focus on user experience rather than just the technical aspects. He’s also incredibly adaptable, able to handle any tech situation that comes up, all while keeping UX in mind. He truly cares about the design side of things. He’s super approachable, great at explaining complex tech in a way that’s easy to understand, and always looks for solutions instead of obstacles. It’s refreshing to work with someone who’s so technically skilled and also so easy to get along with."
> — Rizwan Baig, Product Manager @ Swift Dynamics LLC

> "I've had the pleasure of collaborating with Huzaifa and the best recommendation I can make is that he is a genuine problem solver! When carrying out hands-on work, he did so accurately, efficiently, and always focused on actionable outcomes. He is a great team player who builds relationships quickly and is a trusted ear for those around him."
> — Fayyaz Ali, Researcher & Educationist | Investor & Board of Director at Lenaar Digital

> "Muhammad Huzaifa Shahbaz is a competent, diligent student and researcher who consistently demonstrated exceptional study dedication, especially in the data science & AI domain. His ability to grasp and apply complex concepts in practical situations is commendable. Huzaifa's strong work ethic, critical thinking skills, and positive attitude make him a standout person. Whether working independently or in a team, he consistently delivers high-quality results and approaches challenges with a solutions-oriented mindset. Huzaifa can excel in all his future endeavors for any academic or professional opportunities."
> — Khalid Mahboob, Professor at IOBM

> "Huzaifa Shehbaz is one of the most inspiring professionals I've come across. His leadership style is exceptional—he knows how to motivate a team, bring out the best in everyone, and guide them toward success with clarity and confidence. His approach makes him a true leader in every sense."
> — Ahmer Zubair, CEO Sharp Edge

> "Huzaifa is the best DevOps engineer I've worked with. His Kubernetes expertise and backend development skills are unmatched."
> — Lauren Matthews, CIO RapidSignal, UK Ltd

> "Huzaifa has exceptional analytical skills and attention to detail. He consistently ensures projects are completed to the highest standards. His positive attitude and willingness to help others make him a valuable asset to any team."
> — Javeria Khan, SEO Executive (Former Colleague at Lenaar Digital LLC)

> "Muhammad Huzaifa Shahbaz is one of the finest team members I've worked with. His efficiency in managing and organizing work helped the Google DSC community at our campus thrive. He has a creative mind and a strong skill set for solving real-world problems."
> — Maham Abbasi, IT Business Analyst & Former GDSC Lead

> "Huzaifa's expertise in AI engineering is remarkable. His ability to translate complex machine learning concepts into practical solutions saved our team countless hours. He's not just technically brilliant—he's also an excellent communicator who bridges the gap between data science and engineering seamlessly."
> — Amelia Rodriguez, Senior AI Research Scientist @ TechVision Labs

> "Working with Huzaifa on our AI infrastructure was transformative. His deep understanding of MLOps and model deployment pipelines helped us scale from prototype to production in record time. He brings both technical excellence and strategic thinking to every project."
> — Jacob Joshua, VP of Engineering @ CloudScale Solutions

> "Huzaifa's innovative approach to AI model optimization impressed our entire team. He implemented cutting-edge techniques that improved our model performance by 40% while reducing inference costs. His dedication to staying current with AI advancements makes him an invaluable collaborator."
> — Olga Smith, Lead Data Engineer @ Quantum Analytics

## FAQ

Q: Who is Muhammad Huzaifa Shahbaz?
A: Muhammad Huzaifa Shahbaz (mhuzaifadev) is a Senior AI Software Engineer with 4+ years building scalable backend systems and deploying applied AI in production, including real-time systems serving tens of thousands of users. He is based in Pakistan and open to EU relocation (EU Blue Card eligible). He builds with FastAPI, Django, Python, AWS, Docker, and Kubernetes, and works on LLM-powered workflows, agentic AI, voice AI, and real-time systems.

Q: What is his current job?
A: AI Systems Engineer at Digital Dividend Global, Sep 2024 – Present. Professional title used on the site: Senior AI Software Engineer. Source: https://mhuzaifa.com/resume

Q: Where did he study?
A: Bachelor of Science in Software Engineering at Sir Syed University of Engineering and Technology, 2019–2023. Graduated Cum Laude, top 10% of the batch.

Q: Is he open to hiring or relocation?
A: Yes. He is EU Blue Card eligible and open to relocation in Europe, and to remote work with international teams.

Q: How can someone contact him?
A: Email mhuzaifadev@gmail.com, LinkedIn https://linkedin.com/in/mhuzaifadev, or the site contact flow at https://mhuzaifa.com.

## Provenance

- Resume (employment): https://mhuzaifa.com/resume
- Portfolio (products): https://mhuzaifa.com/portfolio
- Publications (DOIs and abstracts): https://mhuzaifa.com/publications
- Scholarly Markdown record: https://mhuzaifa.com/Muhammad-Huzaifa-Shahbaz-Scholarly-Record.md
- Speaking: https://mhuzaifa.com/speaking
- Recognition: https://mhuzaifa.com/recognition
- ORCID: https://orcid.org/0000-0002-0043-6037
- Google Scholar: https://scholar.google.com/citations?user=UG6fYWwAAAAJ
- ResearchGate: https://www.researchgate.net/profile/Muhammad-Huzaifa-Shahbaz
- GitHub: https://github.com/mhuzaifadev
- LinkedIn: https://linkedin.com/in/mhuzaifadev