Lab Engineer | AI, Machine Learning & Data Science Enthusiast
📍 Haripur, Pakistan · 🎓 BS Software Engineering (2020–2024)
🌐 Website |
🔗 LinkedIn
I am a Lab Engineer with a Software Engineering background, building practical and reproducible work across AI/ML, NLP, Computer Vision, Data Science, and Full-Stack Development. My focus is on turning real-world data into usable tools (dashboards, analytics, deployable prototypes) and documenting projects clearly for fast evaluation.
- Machine Learning & Deep Learning: model development, evaluation, deployment-ready prototypes
- Natural Language Processing: sentiment analysis, user feedback mining, LLM-assisted insights
- Computer Vision: robust object detection under challenging conditions
- Data Science: preprocessing, visualisation, actionable insights
- Software Engineering: maintainability, documentation, structured workflows
| Project | Description | Link |
|---|---|---|
| Sentiment Analysis of Software Requirements (FYP) | Automated review collection, sentiment analysis, and quality insights with a Streamlit dashboard. | View Project |
| Full-Stack E-commerce Web Application (MERN) | MERN app with authentication, cart workflow, and MongoDB-based product management. | View Project |
| Responsive Web UI Components | Designed responsive UI elements (cards, carousels, navbars) focusing on usability and clean design. | View Project |
| Weather Forecast Dashboard (Streamlit) | Built ML-powered dashboard to analyze and visualize predictive weather data. | View Project |
| Game Recommendation System (Steam Dataset) | Implemented recommendation system with preprocessing, feature engineering, and personalization logic. | View Project |
| CNN-Based YOLO Framework for Visual Inspection | Combined CNN and YOLO for robust object detection under varying lighting conditions. | View Project |
- Languages: C++, Python, SQL, JavaScript
- Web: HTML, CSS, Bootstrap, React, Next.js, PHP, MongoDB
- AI/Data: Streamlit, TensorFlow, PyTorch, scikit-learn, Transformers, LangChain, NLTK, OpenCV, Ollama, Beautiful Soup, Pandas, NumPy, Matplotlib, Seaborn, Plotly
- Models: CNN, RNN, YOLOv11, YOLOv12
- Tools: Git/GitHub, PyCharm, Visual Studio Code, Visual Studio, Postman, Jupyter Notebook, Kaggle, Google Colab, Roboflow, MySQL Workbench, Figma, Lucidchart, Visual Paradigm, StarUML, Draw.io, Creately, Overleaf, ClickUp, Office 365
- Deployment: Hugging Face Spaces, Vercel, Microsoft Azure, Loveable
- BS Software Engineering (2020–2024) — Pak-Austria Fachhochschule Institute of Applied Sciences and Technology
Thesis: Sentiment Analysis of Software Requirements in Social Media Platform - Dean’s List of Honors + Merit Scholarships: Fall 2020, Fall 2022, Fall 2023, Spring 2024
Since 30 September 2024, I design and deliver hands-on lab systems for Data Structures & Algorithms, Database Systems, Programming Fundamentals, Operating Systems, and ICT, develop lab manuals/projects/assessments aligned with CLOs/OBE, and mentor students in debugging, database querying, process control, and problem solving.
- I do not publish private datasets, confidential institutional material, student data, or credentials.
- If you notice sensitive information, please contact me and I will remove it immediately.