# Muhammad Huzaifa Shahbaz

Canonical page: https://mhuzaifa.com/resume
Last updated: 2026-09-28
Person: Muhammad Huzaifa Shahbaz (https://mhuzaifa.com)

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.

- Professional title: Senior AI Software Engineer
- Current employment: AI Systems Engineer at Digital Dividend Global (Sep 2024 – Present)
- Email: mhuzaifadev@gmail.com
- Location: Karachi, Pakistan

## Current employment

### Digital Dividend Global

AI Systems Engineer
Sep 2024 – Present · Remote, USA
Sweden-based digital transformation company

- 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.

## Previous experience

### 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), 2019–2023.
Graduated Cum Laude, top 10% of the batch.
Mammory — breast cancer detection using AI on mammography and ultrasonography (4.0 GPA equivalent on the project).
Thesis DOI: https://doi.org/10.6084/m9.figshare.22340170.v1

## Focus

- Senior AI software engineers
- Agentic AI engineers
- RAG architects
- Voice AI engineers
- Retell AI developers
- FastAPI AI backend developers
- LLMOps engineers
- Self-hosted LLM deployment
- AI automation using n8n
- Production AI system architecture
- Computer vision backend systems
- Real-time AI platforms

## Links

- Portfolio: https://mhuzaifa.com/portfolio
- Publications: https://mhuzaifa.com/publications
- GitHub: https://github.com/mhuzaifadev
- LinkedIn: https://linkedin.com/in/mhuzaifadev
- ORCID: https://orcid.org/0000-0002-0043-6037