Muhammad Qasim Jalil
FAST
· 2025
Email
qasimjl469@gmail.com
Phone
+923218648706
LinkedIn
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GitHub
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Academic
Program
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CGPA
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Year
2025
Education
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Address
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DOB
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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