Muhammad Hissan Umar
NUST
· 2026
·
411644
Email
mumar.bese22seecs@seecs.edu.pk
Phone
923004499554
GitHub
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Academic
Program
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CGPA
2.96
Year
2026
Education
Bachelors in Software Engineering
School of Electrical Engineering and Computer Sciences , Islamabad , 3.03 (2026)
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
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,
deep 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
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
Status: ai_done
Provenance
Source file: —Created: 1777448793