Muhammad Hissan Umar
NUST
· 2026
Email
hissan.umer@gmail.com
Phone
923004499554
GitHub
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Academic
Program
Bachelors in Software Engineering
CGPA
3.03
Year
2026
Education
School of Electrical Engineering and Computer Sciences
Address
301/A NISHTER BLOCK IQBAL TOWN LAHORE , Lahore , Pakistan
DOB
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Career
Current role
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Target role
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Skills
full-stack development, backend services, applied machine learning, scalable web applications, REST APIs, ML/DL models, remote sensing, Deep Learning CNN, LLMs, Computer Vision, Next.js, React, data preprocessing, model training, algorithms, statistics, software engineering
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Muhammad Hissan Umar Cell: 923004499554 | Email: hissan.umer@gmail.com LinkedIn: https://www.linkedin.com/in/hissan-umar-68028a228/ Address: 301/A NISHTER BLOCK IQBAL TOWN LAHORE , Lahore , Pakistan PROFESSIONAL PROFILE Final-year Computer Science student and Software Engineer experienced in full-stack development, backend services, and applied machine learning. Proficient in building scalable web applications using modern frameworks, implementing REST APIs, and integrating ML/DL models into production environments. Passionate about solving real problems through software and data-driven systems EDUCATION Bachelors in Software Engineering School of Electrical Engineering and Computer Sciences , Islamabad , 3.03 (2026) INTERNSHIP EXPERIENCE Machine Learning and Intelligent Systems, Nust (MACHVIS) 17-Jun-2025 - 21-Aug-2025 Working on remote sensing projects for a real time dashboard for the currently growing crops along with analysis to provide 35% better insights for agricultural practices. This project uses ML analysis, along with Deep Learning CNN for yield prediction and LLMs for explainability. The project also focuses on creating a mutable pipeline for constant model improvements. It is already deployed on GitHub. TUKL Deep Learning Lab 03-Jun-2024 - 30-Aug-2024 Improved Machine Learning and Deep Learning skills while building a CV recommendation system for firms using LLM agents. The system leverages instruction-set manipulation to optimize LLM behavior and produce more accurate candidate recommendations, making the hiring process significantly more efficient for medium-scale recruitment. FINAL YEAR PROJECT UAV Based Remote Sensing for Wheat Yield Prediction I conducted a UAV-based remote sensing research project utilizing multispectral imagery to analyze crop growth and yield prediction. The study combined vegetation indices, canopy traits, and genotype-aware modeling with machine learning and deep learning approaches. The outcomes of this work were compiled into a structured research paper, which I successfully submitted for publication. TECHNICAL EXPERTISE Machine Learning Engineer Machine Learning Engineer experienced in designing, developing, and deploying ML models to solve real-world problems. Skilled in data preprocessing, model training, evaluation, and scaling production-ready ML systems. Strong foundation in algorithms, statistics, dee p learning, and software engineering, with h ... Full Stack Development Full-stack developer specializing in Next.js for building server-rendered and client-rendered web applications. Experienced in developing RESTful APIs, integrating databases, and implementing server-side logic for end-to-end features. Strong understanding of React architecture, routing, authentication, and pe ...
AI enrichment
Muhammad Hissan Umar is a final-year Software Engineering student with experience in full-stack development and machine learning. He has completed internships involving remote sensing, deep learning, and LLM integration, and has published research on UAV-based crop yield prediction.
Skills (AI)
["Full-Stack Development", "Machine Learning", "Deep Learning", "Python", "Next.js", "React", "REST APIs", "Computer Vision", "LLMs", "Remote Sensing", "Data Preprocessing", "Git"]
Status: ai_done
Provenance
Source file: SEECS - Software Engineering-2026(1).pdfFrom job #260 page 80
Created: 1778138736