Sarmad Sultan

PROFESSIONAL PROFILE With a strong foundation in competitive mathematics at both national and international levels, I have developed a deep passion for mathematics and physics, with a primary focus on mathematical reasoning and problem-solving. This background shapes how I approach artificial intelligence—not just as a set of models, but as a mathematical system to be understood, optimized, and engineered for efficiency and reliability. My work in machine learning is driven by system-level thinking, focusing on performance optimization, scalability, and principled design rather than black-box experimentation. Alongside technical depth, I bring strong communication and leadership skills, developed through extensive involvement in extracurricular activities, student societies, and large-scale events. I thrive in collaborative environments and enjoy bridging rigorous technical work with clear communication and team-driven execution. EDUCATION Bachelors of Science in Computer Science School of Electrical Engineering and Computer Science , Islamabad , 3.6 (2026) INTERNSHIP EXPERIENCE Machine Vision and Intelligent Systems Lab 01-Apr-2025 - 31-Aug-2026 Suparco 31-May-2024 - 31-Aug-2024 Summer Research Intern LUMS - CVG Lab 01-Jun-2025 - 30-Sep-2025 Research Assisstant FINAL YEAR PROJECT MedLingo: Medical LLM with Mixture of Experts MedLingo is a research-driven clinical AI system focused on building domain-specific medical language models using a Mixture of Experts (MoE) architecture. The project involves training and fine-tuning multiple specialized small language models on distinct medical subdomains and intelligently routing queries to achieve near-LLM performance with significantly improved efficiency and reduced computational cost. The system emphasizes optimization, scalability, and reliability, including expert routing strategies, efficient training pipelines, and inference optimization. Designed as a clinical decision-support tool for healthcare professionals, MedLingo prioritizes accuracy, interpretability, and safe deployment over general-purpose usage. TECHNICAL EXPERTISE Machine Learning Engineering, Optimization & Scalable AI Systems Extensive research-driven experience in machine learning with a strong focus on system efficiency, optimization, and performance improvement. Skilled in designing and optimizing end-to-end ML systems, including data pipelines, model architectures, training workflows, and inference optimization. Experienced in ...

With a strong foundation in competitive mathematics at both national and international levels, I have developed a deep passion for mathematics and physics, with a primary focus on mathematical reasoning and problem-solving. This background shapes how I approach artificial intelligence—not just as a set of models, but as a mathematical system to be understood, optimized, and engineered for efficiency and reliability. My work in machine learning is driven by system-level thinking, focusing on performance optimization, scalability, and principled design rather than black-box experimentation. Alongside technical depth, I bring strong communication and leadership skills, developed through extensive involvement in extracurricular activities, student societies, and large-scale events. I thrive in collaborative environments and enjoy bridging rigorous technical work with clear communication and team-driven execution.