As an AI expert and Qt C software developer, I specialize in Machine Learning, Natural Language Processing, and Advanced Text Analytics. I create robust systems for both desktop and embedded environments, leveraging tools like Apache Server, PHP, MySQL, HTML5, CSS3, Bootstrap, JavaScript, Django, and WordPress. Currently, I work in a government Electronics Research and Development department, focusing on designing, developing, and reverse-engineering electronic modules. I am passionate about continuous learning and innovation, always pushing the boundaries of what's possible in technology.👨🏻 👨🏻💻
Email: [email protected]
| Sr. No. | Degree 📘 | Institute | From | To |
|---|---|---|---|---|
| I. | MS(CS) | Comsats University Islamabad, Wah Campus, Pakistan | 2022 | 2024 |
| II. | BS(CS) | Virtual University of Pakistan (VU) | 2014 | 2020 |
Keywords: Heart Disease Prediction, NHANES, MLP, Neural Network, Explainable AI, Interpretable AI, SHAP, SummaryPlot, WaterFall Plot, SciKit-Learn, SMOTE, ADAYSN
| Sr. No. | Type | Title | Journal | Publication Date | Paper | DOI | Codes |
|---|---|---|---|---|---|---|---|
| I. | Thesis | Enhancing Heart Disease Prediction with Explainable AI (XAI) | --- | --- | --- | --- | GitHub Repo |
| II. | Published Article | Beyond Accuracy: The Transparent Journey of eXplainable AI in Cardiovascular Risk Assessment | Explainability | 19 July 2024 | Link | LINK | GitHub Repo |
| Sr. No. | Title | Description | Codes |
|---|---|---|---|
| I. | Audio Cloud Web-Application | Audio Cloud is a platform for users to sign up, upload, and share audio files with features like user registration, email verification, login, and role-based authorization. Key functionalities include an online audio player, engagement metrics (likes, dislikes, shares), file deletion, categorization, and advanced search options. | GITHUB |
| Sr. No. | Course Name | Issued By | Dated | Course Length | Certificate |
|---|---|---|---|---|---|
| I. | E-Commerce Management | DigiSkills Platform | Aug-2019 ~ Oct-2019 | 3 Months | Yes |
| II. | Graphic Designing | DigiSkills Platform | Nov-2019 ~ Feb-2020 | 3 Months | Yes |
| III. | Digital Marketing | DigiSkills Platform | Feb-2020 ~ May-2020 | 3 Months | Yes |
| IV. | SEO (Blogging) | DigiSkills Platform | May-2023 ~ Aug-2023 | 3 Months | Yes |
| V. | Affiliate Marketing | DigiSkills Platform | July-2023 ~ Oct-2023 | 3 Months | Yes |
| VI. | Video Editing | DigiSkills Platform | Nov-2023 ~ Feb-2024 | 3 Months | Yes |
Here are some of the projects I've worked on:
- Description: Working on the PAKVENT-1 ventilator system has been a delightful journey, where innovation meets compassion. Based on turbine-based airflow, this advanced ventilator comprises a ventilation unit for gas mixing and control, a patient breathing circuit for gas delivery, and real-time oxygen monitoring. It features real-time waveform monitoring, essential operational modes tailored to patient needs, user-friendly knob-based controls, and alerts for any critical conditions. The PAKVENT-1 supports multiple ventilation modes, including Pressure Controlled Mandatory Ventilation (P-CMV), Pressure-Synchronized Intermittent Mandatory Ventilation (P-SIMV), and Continuous Positive Airway Pressure (CPAP), among others. Powered by the DE10-Nano processing device and developed using the Qt C framework version 5.10, the device's intuitive design and reliable performance make it an invaluable asset in medical settings, ensuring optimal patient care and safety.
- Tech Stack: Qt C Framework version 5.10, QWidgetApplication, Linux 18.04, Embedded Linux, LXDE, DE10-Nano Development Kit. Air Turbine, Air-Flow Sensors, Air Pressure Sensors, Oxygen Sensor, etc
- Description: This Qt C desktop application monitors lab room environmental variables like CO2, temperature, humidity, and pressure, providing real-time visualization through plots. It uses the hidapi.h library to control USB-Switches-Relay modules, toggling lab equipment. The DataFetcher class handles sensor data, threshold checks, and relay activation, while the Qlogger class logs the system's operational state. Supported sensors include BME680, BME688, SGP30, SGP41, ENS160, MiCS5524, MS5803_05BA, TED1X, and USB_RELAY_Switches, ensuring effective monitoring and automated control of lab environments.
- Tech Stack: Qt C Framework, QWidgetApplication,
- Tech Stack: Qt C Framework, QWidgetApplication,
- Tech Stack: Qt C Framework, QWidgetApplication,
- Tech Stack: Python, Jupyter-NoteBook, Scikit-learn, Pandas, NumPy, MLP, Neural-Network, XAI, SHAP, Feature-Ranking, Summary-Plot, WaterFall-Plot,
- Tech Stack: PHP, MySQL, HTML5, CSS3, BootStrap, JavaScript, jQuery, JSON, AJAX,
- Tech Stack: PHP, MySQL, HTML5, CSS3, BootStrap, JavaScript, jQuery, JSON, AJAX,
