Muhammad Saqib

Founded and scaled Amperor into a global AI and software services company, leading a 50+ member distributed team across engineering, AI/ML, product, and operations. Developed and maintained backend APIs using ASP.NET Core and built frontend features with React. Designed and delivered enterprise-grade AI/ML solutions including LLM-based systems, RAG pipelines, intelligent agents, and AI-powered automation platforms. Implemented MLOps, CI/CD pipelines, and cloud-based AI deployment strategies to improve scalability, reliability, and production efficiency. Deployed, monitored, and maintained applications on Azure with 99.9% uptime and reduced deployment time by 30%. Played a key role in client acquisition, retention, and business expansion through AI-driven digital transformation and scalable SaaS solutions.

Built a secure, low-latency digital surveillance and monitoring platform, enabling customers to access live camera feeds, recorded footage, and incident alerts through web and mobile apps. Designed and implemented RESTful APIs with SQL Server using Entity Framework. Developed multi-camera ingestion pipelines with edge gateways, implemented RBAC, secure authentication, and onboarding workflows. Built automated camera health monitoring and proactive alerting systems to reduce downtime, and optimized performance to achieve a 40% increase in processing speed and reduced latency. Managed cloud-native microservices infrastructure using Docker, Kubernetes, object storage, CDN, and scalable streaming architecture.

Delivered production-grade platforms across SaaS, AI, EdTech, Healthcare, and Enterprise domains, owning the full lifecycle from architecture design to deployment and production support. Built and scaled backend systems and high-performance APIs using Python (FastAPI), Node.js (NestJS), Ruby on Rails, and PostgreSQL. Developed AI-driven automation, LLM-integrated workflows, document processing pipelines, and background job architectures to optimize operations. Implemented CI/CD pipelines and DevOps best practices, reducing deployment errors and increasing release frequency. Mentored junior and mid-level engineers and coordinated delivery across a 30+ member team.