Sajid Maqbool

• Linux administration. • Google Cloud Platform (GCP) management. • VM patching. • Operating System migration from CentOS to AlmaLinux. • Proficient in Git for version control. • Implement and manage GitLab CI/CD pipelines for applications. • Container orchestration with Kubernetes, ensuring efficient deployment and management of containerized applications. • Automating IT tasks using Ansible. • System monitoring, updating, and storage management

• Developed Python scripts for MySQL and MongoDB with advanced queries. • Deployed containers for various development tasks. • PowerShell scripting to automate active directory-related tasks. • Management of MySQL and MongoDB databases. • Visualization of data using Tableau dashboards and Power BI. • Extensively worked with Freshworks ticketing system and Jira. • Administration of Cloudflare services for domains and subscriptions. • Maintenance and development of REST-APIs based on the Flask framework.

Topic: PoC for the use of IoT to optimize the interface between the Workshop and the Downstream MRO Logistics Processes • Worked on Smart Shelf Design to improve and accelerate the logistic operations between the logistic department and the workshop. • Real-time data collection, cleansing, and visualization using Pandas, and Numpy. • Used various tools for data analysis and interpretation such as Excel, Matplotlib, seaborn, and ggplot. • Handed in a working prototype and the analysis report.

• Endpoints and user management using Microsoft Intune. • Extensively worked with Office 365 for administration and ticketing systems. • Used Microsoft Power Automate for automating routine tasks. • Managing all tickets for incidents and forwarding them to concerned departments. • Provide IT support at all levels. • Established good relationships with clients, vendors, suppliers, and other concerned professionals.

I worked as an electronics engineer to provide support to the senior engineers.

Topic: Efficient Spectrum Sensing Through Reinforcement Learning for Multichannel Medium Access Prediction in Coexisting Wireless Networks • Designed and developed a reinforcement learning-based algorithm for decision-making using Keras and TensorFlow. • Designed a Python-based framework to simulate aircraft communication using SimPy library. • Data collection, wrangling, and visualization using Pandas. • Python unit tests to identify bugs. • Automated routine procedures using Python scripts.

Topic: Machine Learning-Based Multi-Channel Access Prediction in Partially Observable Wireless Networks • Designed and developed machine learning models based on LSTM-RNN for predictions using Keras and TensorFlow. • Formation of hypothesis, testing, and detailed analysis of the results. • Used Pandas for data manipulation and analysis and matplotlib, ggplot, and seaborn for data visualization. • Utilized Python scripts to automate routine tasks. • Documented the entire project using LaTeX.

Linear Algebra & Mathematical Analysis

Software Security, Software Verification, Embedded Systems, Software Testing, Traffic Engineering, Communication and Network Analysis, Pattern Recognition, Application Security

Embedded Systems, Digital Logic Design, Computer Architecture, Instrumentation & Measurement, Data Communication and Computer Networks, Analog and Digital Communication Systems, Microprocessor Systems, Operating Systems, Digital System Design