Muhammad Sarmad Saleem
NUST
· 2026
Email
sarmadsaleem.333@gmail.com
Phone
03334070869
GitHub
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Academic
Program
BSCS
CGPA
3.4
Year
2026
Education
SEECS
Address
Lahore, Pakistan
DOB
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Career
Current role
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Target role
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Skills
Full-stack development, AI-enabled systems, Deep Learning, Generative AI, PyTorch, TensorFlow, scikit-learn, Machine Learning, Artificial Intelligence, WebRTC, Satellite Imagery, Remote Sensing, Climate Data, Multimodal techniques, Crop field classification, Glacier retreat modeling
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Muhammad Sarmad Saleem Cell: 03334070869 | Email: sarmadsaleem.333@gmail.com LinkedIn: https://www.linkedin.com/in/muhammad-sarmad-saleem-3bb060266/ Address: House # 4 , Street 161 samnabad , Lahore , Pakistan PROFESSIONAL PROFILE I am a final year Computer Science student and a Machine Learning engineer with expertise in full-stack development across multiple frameworks. I focus on building AI-enabled systems using Deep Learning and Generative AI, developing and deploying these systems while learning and implementing industry standard tools. EDUCATION Computer Science School of Electrical Engineering & Computer Science (SEECS) , Islamabad , 3.40 (4) INTERNSHIP EXPERIENCE Search 'O Pal 01-Apr-2024 - 31-Oct-2024 Worked as Software Developer & ML Engineer. Developed an assessment module for hiring with support for multiple question types (MCQ, true/false, short answer), implemented a real-time video interview feature using WebRTC, and integrated a chatbot to assist candidates.Developed a job recommendation system to suggest relevant skills based on job titles for companies, and built a resume extractor to auto-fill candidate details for job applications. DAAD Research @ Intern Robotics Research Lab, RPTU, Germany 01-Jul-2025 - 31-Jul-2025 Worked as a DAAD Research Intern, focusing on my final-year project to model and measure glacier retreat using satellite imagery and climate data. Conducted a workshop to present findings to professors and actively participated in various lab activities and research discussions. Machine Vision & Intelligent Systems Lab, NUST 01-Oct-2024 - 31-Jan-2026 Worked on implementing multimodal techniques for crop field classification using satellite imagery, evaluating performance across different regions and years. Currently pursuing my final-year project in the same lab, focusing on predicting future glacier retreat through remote sensing data FINAL YEAR PROJECT GlacioVision: Predicting Future Glacier Extent & Elevation An AI-enabled web platform that predicts next-year glacier masks and elevation changes using satellite imagery and climate data. The system estimates glacier area and volume changes over time, with a web-based dashboard for visualizing glacier masks, elevation trends, and historical changes interactively. TECHNICAL EXPERTISE Machine Learning and Deep Learning Expert in developing machine learning and deep learning models using various technologies such as PyTorch, TensorFlow, and scikit-learn. Experienced in working with diverse datasets and possessing strong, in-depth knowledge of machine learning, deep learning, and artificial intelligence concepts. Has worked e ... Generative AI & LLMs
AI enrichment
Muhammad Sarmad Saleem is a final-year Computer Science student with a 3.4 CGPA and experience as a Machine Learning Engineer. He has developed AI-enabled systems, including a job recommendation engine and a glacier prediction platform, utilizing full-stack and deep learning technologies.
Skills (AI)
["Machine Learning", "Deep Learning", "Generative AI", "LLMs", "PyTorch", "TensorFlow", "scikit-learn", "Full-Stack Development", "WebRTC", "Computer Vision", "Remote Sensing", "Satellite Imagery Analysis"]
Status: ai_done