Full-Stack software that ships strategy, not just code

I'm Muhammad Moiz, and I design and deliver production systems that keep teams moving. From idea validation to hardened releases, I combine discovery workshops, API-first architecture, and rapid prototyping to shrink feedback loops. That process has helped venture-backed startups launch self-serve SaaS, product teams unblock migrations, and research groups commercialize AI/ML features without derailing roadmaps.

As a Full-Stack Software Engineer, I partner with design, security, and stakeholder teams to translate requirements into resilient experiences. I build React applications, Python and Node services, and data pipelines that land on AWS or GCP with observability and CI/CD baked in. My recent focus has been productionizing machine learning workloads—retrieval-augmented generation, personalization, and analytics dashboards—so they are measurable, explainable, and cost aware.

Every engagement tries to leave a team stronger than I found it: documentation that gets maintained, infrastructure-as-code that is reproducible, and delivery practices that survive handoffs. Whether we are modernizing legacy platforms or shipping a green field product, the target is the same—software that aligns customer outcomes with business strategy.

Impact Highlights

Outcomes from full‑stack, AI/ML, and cloud work across industry and campus.

Conversions +22% for 50K+ users

Deployed on-device ML recommendation engine at Muff LTD (2025).

Checkout latency -40%

Re-architected system into cloud microservices with peak-load scaling.

Retrieval speed +3×

Rauner: Elasticsearch + embeddings; 300K+ manuscripts searchable.

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