Muhammad Usman Azam
FAST
· 2025
Email
musmanazam17@gmail.com
Phone
+923047901400
GitHub
—
Academic
Program
—
CGPA
—
Year
2025
Education
—
Address
—
DOB
—
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 Usman Azam +923047901400, musmanazam17@gmail.com Green Town, Faisalabad. Linkedln: https://www.linkedin.com/in/muhammad-usman-azam-30b87324a/ Bachelor of Science (Computer Science) Major: MLOps, Deep Learning, Gen Al, Ul/UX, Software Design & Analysis, Artificial Intelligence, Digital Image Processing. Punjab Group of College, Faisalabad Punjab F.Sc (Physics, Chemistry, Mathematics) White Rose Boys School, Faisalabad Punjab Matriculation (Physics, Chemistry, Biology) rojects 'Final Year Project: KubeSecure [Al, Kubernetes, Deep Learning, Prometheus, Grafana, Cillium] FnAl-based anomaly detection system for securing Kubernetes clusters using deep learning models and automated hreat mitigation. em ester Pro ·ects: ociety Management System [ASP.NET Razor Pages, Entity Framework, HTML, CSS, MS SQL]: Created a web-based society management system for membership applications and event organization. Future Frame Prediction [Python, TensorFlow, ConvLSTM, PredRNN, Transformers, UCF101 Dataset]: Implemented deep learning models to predict and generate future video frames for video synthesis Bank Management System [Java, JavaFX]: 'A web application for secure customer account management, transactions, and access control in banks. iTop Kth Shortest Path [OpenCL, OpenMP, MPI, C Language]: lfhis project implements the Kth Shortest Path Problem using a combination of MPI (Message Passing Interface) for distributed computing and OpenMP for shared memory parallelization. Environmental Monitoring [MLOps, DVC, Mlflow, Prometheus]: MLOps-based pollution prediction using LSTM models for improved accuracy and real-time monitoring. Work Experience ML Intern (PCN Lab), Fast NUCES, Islamabad June 2024 - Aug 2024 Worked with Hugging Face, Ollama, and Transformer-based models. Fine-tuned LLaMA Q.0-7B on a newspaper dataset and compared it with the pre-trained model. Developed a FastAPl-based deployment for the fine-tuned model. Freelancing (Upwork) May 2023 - Present Completed multiple Al and software development projects with high client satisfaction. Built a chatbot for intelligent document-based querying 'Skills & Tools Professional Skills Leadership, Interpersonal Skills, Communication. iTechnical Skills C/C++, Python, Java, SQL, TensorFlow, PyTorch, Hugging Face, Olla ma, HTM L, CSS, Flask, ,_____ ll\SP.NET Razor Pages, Docker, Kubernetes, Jenkins, MLflow, Grafana, Prometheus, Git, GitHub. -~ - 'Achievements IA.warded with Scholarship of no tuition fee at school level for 3 classes. ~warded with Gold Medal for being Top in 3 straight classes Trainings I Certification Upwork Skill Certification - Machine Learning (Technical assessment passed). !Activities Freelancing Exploring new Technology 'nterests Playing and Watching Football, Playing Fortnite Game, Cooking FAST NUCES ISLAMABAD CAMPUS
AI enrichment
Muhammad Usman Azam is a Computer Science graduate with specialized training in MLOps, Deep Learning, and AI, supported by internship experience at FAST NUCES and ongoing freelancing work. He has practical experience deploying machine learning models using Kubernetes, Docker, and various deep learning frameworks.
Skills (AI)
["Python", "C/C++", "Java", "SQL", "TensorFlow", "PyTorch", "Hugging Face", "Ollama", "Flask", "ASP.NET Razor Pages", "Docker", "Kubernetes", "Jenkins", "MLflow", "Grafana", "Prometheus", "Git", "GitHub", "HTML", "CSS"]
Status: ai_done
Provenance
Source file: —Created: 1777724106