Muhammd Ahmad

AI/ML Engineer with 2+ years of full-stack development and dedicated expertise in machine learning systems, NLP, and AI infrastructure. Award-winning track record in AI-powered medical image processing. Currently building KalamGlobal, an Arabic AI translation chatbot leveraging advanced NLP and LLM integration.

Skilled in designing end-to-end ML pipelines, deploying scalable AI systems, and architecting infrastructure to support AI workloads. Passionate about building sovereign, secure AI infrastructure and advancing Pakistan's digital AI capabilities.

MERN Stack Developer & AI Systems Contributor at Maxxis Tyres (2024-09 – Present)

• Architected full-stack web applications with scalable backend infrastructure supporting real-time data processing and integration with business intelligence systems.
• Designed and implemented REST APIs and data pipelines that handle high-volume requests, optimizing throughput and latency for mission-critical operations.
• Built secure authentication systems (JWT, RBAC) and infrastructure-aware access control patterns applicable to multitenant AI systems.
• Optimized database queries and schema design for performance at scale, applying principles relevant to large-scale data processing systems.

React & Full-Stack Developer at Edify Technologies (2024-01 – 2024-09)

• Developed reusable, scalable component libraries and UI frameworks that improved iteration speed across multiple AI adjacent projects.
• Integrated APIs and third-party services into production systems, enabling seamless ML model inference exposure through web interfaces.
• Implemented performance profiling and optimization techniques to reduce latency and improve responsiveness in data heavy applications.

Bachelor of Science in Computer Science – The University of Faisalabad (2024-05)