Software Engineering

Muhammad Ali Akbar

443-***-**** ********@***.*** www.linkedin.com/in/muhammadaliakbar2134/ College Park, MD EDUCATION

University of Maryland College Park, MD

Master of Engineering, Software Engineering GPA: 3.88 Aug ’19 – May ’21 Graduate Certificate in Engineering, Cybersecurity Graduate Assistant, UMD CP AGNR-Dean Fiscal Office – Payroll Office NED University of Engineering and Technology Karachi, Pakistan Bachelor of Engineering, Electrical and Computer Engineering GPA: 3.85 Jan’ 14 – Jan ‘18 IEEE Deputy Head of Logistics team

SKILLS

• Programming: Python, Java, JavaScript, React, HTML, CSS, C Language, Spring-Aspect Oriented Programming

• DevOps and DBMS: AWS(Amplify, DynamoDB), GCP(Big Query, Cloud Functions, Compute Engine), SQLite

• Operating Systems/Hypervisors: Ubuntu, remnux, Kali, Windows

• Tools: Balsamiq, Lucid Chart, Wireshark, IDA Pro, Selenium, Modeler, Microsoft Office, Splunk, LabView

• Courses: Reverse Software Engineering, Software Design and Implementation, Software Testing and Maintenance, Networks and Protocols, Python Bootcamp.

• Certifications: Java for Android, Splunk 7.x Fundamentals, Google Cloud Platform Fundamentals: Core Infrastructure, Learning React.js, Python Data Structures, Python to Access Web Data, Databases with Python. WORK EXPERIENCE

Omerty Jersey City, NJ

Software Engineering Intern Jun ‘20 – Aug’20

• Created automation and semi-automation scripts using Python for crash data ingestion from csv, xml files and SFTP servers for 8 states, to reduce the workload of manual uploading data to Google Big Query tables by 95%, and deployed the scripts using Google Cloud Function and Compute Engine.

• Created python scripts and design models for cleansing and validating the crash ingestion data to organize 10 years of crash data on the big query tables and making the data structures of the newly ingested data to be consistent with the older crash data.

• Worked on writing SQL queries to write duplication deletion and crash weather mapping procedures, so redundant data is removed from BQ tables and the crashes and weather data is mapped into the staging tables. K-Electric Pvt Ltd Karachi, Pakistan

Trainee Engineer Oct ‘18 – Jul’19

• Exhibited excellency in performing High and Low voltage electrical operations in the Area Network Operation Centre and therefore reducing the time for electricity shortage in affected areas by 3 hours per day.

• Monitored the Electrical Network Alarming system and resolved the problem at the earliest for its efficient working and therefore reducing customer complaints by 80% and accelerated workflow with minimum interruptions.

• Maintained the employee attendance records, office inventory and operation tool check to make the administrative work organized, which improved employee and tool presence on duty by 60% in 3 months. PROJECTS

Web-Based Application Aug ’20 – Dec’20

• Collaborated in a team of 5, developing a web-based application to design an application for a learning management system for a workout domain with accessibility features for blind people using React.js as frontend and integrated with Amazon Amplify, DynamoDB, Cognito, Lambda, GraphQL and Chrome Vox Extension.

• Worked as a backend lead and developed the teacher and student interface and its modules with real time display of a 98% success ratio, and integration of the frontend and backend components, assisting with the UI and documentation of the system and developing software Architecture Detailed Design (SADD). Exploiting 64-bit Kernel Memory (CVE 2016-4486) Aug ’19- Dec’19

• Exploiting the 64bit machine Kernel Memory using un-initialized variables in a structure to demonstrate and get the leak address range of kernel pointer holding sensitive data.

• Updating the C code to display the how the address range is leaked in every iteration and verifying the computation of leaked address with the mathematical calculations and Assembly operations.

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