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Sarmad Sultan

NUST · 2026
Email
mastermind.sarmadsultan@gmail.com
Phone
923216506172
LinkedIn
https://www.linkedin.com/in/sarmad-04-04-04-sultan
GitHub

Academic

Program
Bachelors of Science in Computer Science
CGPA
3.6
Year
2026
Education
School of Electrical Engineering and Computer Science
Address
H#45, STREET NO. 5, AHMED BLOCK, MADINA TOWN,QUEENS ROAD, SARGODHA. , Sargodha , Pakistan
DOB

Career

Current role
Target role
Skills
Machine Learning Engineering, Optimization, Scalable AI Systems, Mathematical Reasoning, Problem-solving, Data Pipelines, Model Architectures, Training Workflows, Inference Optimization, Mixture of Experts, Clinical AI, Communication, Leadership
Interests / quote
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.

Verbatim text

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Sarmad Sultan
Cell: 923216506172 |  Email: mastermind.sarmadsultan@gmail.com
LinkedIn: https://www.linkedin.com/in/sarmad-04-04-04-sultan
Address: H#45, STREET NO. 5, AHMED BLOCK, MADINA TOWN,QUEENS ROAD, SARGODHA. , Sargodha , Pakistan
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 ...

AI enrichment

Sarmad Sultan is a Computer Science undergraduate graduating in 2026 with a 3.6 CGPA, specializing in machine learning engineering and scalable AI systems. He has research experience in machine vision and medical LLMs, focusing on optimization and system-level design.
Skills (AI)
["Machine Learning", "Artificial Intelligence", "System Optimization", "Scalable AI Systems", "Data Pipelines", "Model Architecture", "Inference Optimization", "Medical LLMs", "Mixture of Experts", "Research"]
Status: ai_done
Provenance
Source file: SEECS - Computer Science-2026.pdf
From job #258 page 148
Created: 1778167261