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Muhammad Hissan Umar

NUST · 2026
Email
hissan.umer@gmail.com
Phone
923004499554
LinkedIn
https://www.linkedin.com/in/hissan-umar-68028a228/
GitHub

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

Career

Current role
Target role
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

Verbatim text

The exact text the LLM saw on the page (or the booklet text from the old import). This is what powers semantic search.
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).pdf
From job #260 page 80
Created: 1778138736