Muhammad Abbasi
Software Engineer | Backend & AI/ML
Building solutions through code, automation, and problem solving.

About

I'm a recent Computer Science graduate from UMBC, passionate about backend engineering and AI/ML. With a strong foundation in system administration and problem solving, I strive to continuously expand my skillset while building efficient, scalable solutions.
Education
B.S. in Computer Science
University of Maryland Baltimore County
Coursework Highlights
Data Structures, Operating Systems, Computer Networks, Neural Networks, Software Engineering, Algorithms, Database Management
Experience
Systems Administrator Intern – MileOne, Towson, MD
May 2024 – Aug 2024- Managed incidents using Kace and Zoho ticketing system.
- Automated tasks with Bash and PowerShell scripting.
- Supported Active Directory processes with ManageEngine AD Manager.
- Maintained Exchnage and POP3 servers for email services.
Help Desk Agent – MileOne, Towson, MD
May 2023 – May 2024- User account provisioning in Active Directory.
- Handled user account onboarding/offboarding.
- Troubleshot software, hardware, and network issues, improving first-call resolution.
Undergraduate Research Assistant – UMBC DAMS Research Group
Mar 2025 – Jul 2025- Worked on knowledge representation and reasoning for IoT data.
Automotive Technician – Catonsville, MD
Aug 2020 – Present- ASE Certified A1–A8.
Skills
Programming
Python, C/C++, SQL, HTML/CSS
Frameworks/Tools
PyTorch, TensorFlow, Firebase, Docker, Linux, Jira, GitHub
System Administration
ManageEngine Active Directory, Cisco Unity Connect, Kace & Zoho ticketing, Bash scripting
Methodologies
Agile, System Automation
Projects
Bypassing CAPTCHA with Neural Networks (GAN)
GAN built to bypass CAPTCHA and generate stronger, complex CAPTCHA images with PyTorch.
Interactive 4-Year Course Planner for UMBC Students
Full-stack web app with Flask and React.js; Clerk auth and Firebase integration.
Subnet (Network Simulation)
Python-based Docker simulation testing TCP/UDP connections between hosts and routers with IPv4/IPv6.
Hand Gesture Image Controller
Real-time hand tracking and gesture recognition with OpenCV and Mediapipe to control and resize on-screen images.