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Muhammad Qasim Jalil

FAST · 2025
Email
qasimjl469@gmail.com
Phone
+923218648706
LinkedIn
GitHub

Academic

Program
CGPA
Year
2025
Education
Address
DOB

Verbatim text

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Muhammad Qasim Jalil
~~
+923218648706, qasimjl469@gmail.com
Fll, Islamabad.
Lin kedln: htt.p_s:L[www.linkedin.comlinLmuhammad-gasim-jalil
Education
Bachelor of Science (Artificial Intelligence)
Major:
~iLP, Computer Vision, Data Science, Deep Learning, Knowledge graphs, Data Analytics, Data
sualization and Machine Learning
Punjab Group of Colleges, Sialkot, Punjab
CS(Physics, Computer Science, Mathematics)
A.llama Iqbal Public High School, Sialkot, Punjab
Matriculation (Physics, Chemistry, Computer Science)
Projects
inal Proiect: LiDAR-Based Road Surface Index Calculation
Developing an Al -driven system to analyze road surface quality using LiDAR data. Implementing machine learning
models for accurate surface condition assessment.
~emester Proiects:
MLOps Pipeline Implementation:
Designed and implemented a complete MLOps pipeline incorporating Airflow, DVC, MLflow, GitHub Actions.
)ketch to Image [Generative Al) :
Developed a generative Al model to convert sketches into realistic images using deep I earning techniques.
Meme Classification [ASP.Net, MySQL, Data Warehouse, PL/SQL) :
Developed a multi-modal meme classification system using Flask and deep learning
mage Comparison [Digital Image Processing):
Developed a graph-based image comparison system I everagi ng adva need si mi la rity assessment.
Hospital Knowledge Graph:
:::reated a structured knowledge graph to enhance medical data relationships and querying.
Tournament Management System [C++, OOPs concepts] :
Developed a tournament management system with messaging, player cha I lenges, and win/loss tracking.
Work Experience
nternee, National Aerospace Science & Technology Park (NASTP), Islamabad.
Jun 2024 - Aug 2024
)ensor Division
:::onducted research in Al for sensor-based data analysis. Worked on machine learning
applications in sign a I processing, including audio processing and sensor fusion.
)kills & Tools
Professional Skills
Problem-Solving, Critical Thinking, Research & Development, Adaptability.
Technical Skills
Python, C++, SQL, Pytorch, TensorFlow, Sci kit-Learn, Data Analysis, Graph Databases, Web
:>craping, NLTK, HTML, CSS, JavaScript, PHP, node.is, Diango, Flask.
Achievements
A.warded a ful I tuition scholarship for academic excel I ence at college level.
eatured on the Dean's List in 3rd semester for outstanding performance.
Trainings I Certification
A.I for Everyone - Andrew Ng
Neural Network and Deep learning-Andrew Ng
:iupervised Machine learning (Regression and Classification) - Stanford
ntroduction to Generative Al - Google
Activities
Volunteer Work with Local Welfare-Contributed a few days every year to assist with community welfare initiatives.
Interests
Playing Strategy games, Reading fiction, working on personal automation projects.
FAST NUCES ISLAMABAD CAMPUS

AI enrichment

Muhammad Qasim Jalil is a recent Bachelor of Science graduate in Artificial Intelligence with practical experience from an internship at NASTP and multiple academic projects in computer vision and MLOps. He possesses a strong technical foundation in Python, deep learning frameworks, and data engineering tools, demonstrating proficiency through hands-on implementation of generative AI and sensor data analysis.
Skills (AI)
["Python", "C++", "PyTorch", "TensorFlow", "Machine Learning", "Deep Learning", "Computer Vision", "MLOps", "Airflow", "MLflow", "DVC", "SQL", "Flask", "Django", "Knowledge Graphs", "LiDAR Data Analysis", "Generative AI", "Data Science"]
Status: ai_done
Provenance
Source file:
Created: 1777724106