Muhammad Usman

Chief Technical Officer

Jan 2026 - Present • 10 mos

As CTO of DevoraX, I transform ambitious ideas into measurable digital products. I specialize in architecting cross-platform mobile solutions (React Native, Flutter) and high-concurrency web ecosystems. Beyond the stack, I lead the DevOps strategy—leveraging Kubernetes and AWS to ensure 99.9% uptime and seamless deployment for our global client base. I am a firm believer in "engineering for the future," ensuring every line of code written under my watch is secure, maintainable, and aligned with long-term business scale. I lead technical strategy across the full product development lifecycle, from ideation and system architecture to development, deployment, optimization, and continuous improvement. I work closely with clients, product teams, and engineers to translate business requirements into scalable and reliable technology solutions. I also drive the adoption of Artificial Intelligence and Generative AI across modern software products, including LLM integrations, AI assistants, RAG systems, intelligent automation, AI agents, and data-driven applications. I focus on integrating AI capabilities in ways that are practical, secure, scalable, and aligned with real-world business requirements. Focused on building high-performance digital products, modern engineering teams, cloud-native infrastructure, and AI-powered solutions designed for long-term growth.

Principle Software Engineer

Jan 2024 - Jan 2026 • 2 yrs

Principal Software Engineer at Devorax leading architecture, design, and delivery of scalable, high-performance software solutions. Responsible for driving technical strategy, defining system architecture, and mentoring engineering teams across the full software development lifecycle. Key responsibilities and impact: • Architect and implement distributed, cloud-native systems with strong emphasis on scalability, security, and reliability • Lead technical decision-making, conduct design reviews, and establish engineering best practices • Collaborate with product and business stakeholders to translate requirements into robust technical solutions • Optimize application performance, system observability, and CI/CD pipelines • Mentor and coach engineers, fostering a culture of quality, ownership, and continuous improvement • Drive modernization initiatives including microservices adoption, containerization, and cloud migration • Lead the development and integration of AI-powered applications, intelligent automation, and modern AI solutions • Design and implement AI development workflows involving LLMs, RAG pipelines, AI agents, chatbots, and model/API integrations • Evaluate emerging AI technologies and integrate practical AI capabilities into scalable software products • Guide engineering teams in adopting modern AI development practices while maintaining security, reliability, and performance Focused on delivering maintainable, extensible systems that align technology with business outcomes while reducing technical debt and operational risk. Also focused on building scalable AI-powered solutions that improve automation, product capabilities, and overall engineering efficiency.

Senior Software Engineer & Manager

Jan 2022 - Jan 2024 • 2 yrs

Senior Software Engineer & Manager responsible for leading software development initiatives, managing engineering teams, and delivering scalable, high-quality web and AI-powered solutions. Combining hands-on technical expertise with team leadership to drive projects from requirements and architecture through development, testing, deployment, and continuous improvement. Key responsibilities and impact: • Lead the design, development, and delivery of scalable web applications and AI-powered software solutions • Manage and mentor software engineers, providing technical guidance, code reviews, and support throughout the development lifecycle • Define system architecture, technical requirements, development standards, and best engineering practices • Develop full-stack applications, APIs, backend services, database solutions, and modern user interfaces • Build and integrate AI capabilities including LLMs, AI assistants, RAG pipelines, automation, and intelligent application features • Collaborate with clients, product teams, and stakeholders to understand requirements and translate them into practical technical solutions • Monitor application performance, security, reliability, and scalability while continuously improving existing systems • Plan development workflows, assign tasks, track progress, and ensure timely delivery of projects • Drive the adoption of modern technologies, development practices, and emerging AI trends to improve products and engineering workflows Focused on building reliable software, developing strong engineering teams, and delivering technology solutions that address real-world business requirements.