Engineering Intern Office Manager

Ahmad Mubasher Noori

Manassas, VA 571-***-**** **************@*****.*** LinkedIn

Professional Summary

Enthusiastic Software Engineering Intern candidate with a solid foundation in Python, Linux, and AWS. Proficient in troubleshooting and system assembly, with hands-on experience building and deploying interactive projects that demonstrate strong problem-solving skills and secure coding practices. Known for rapidly adapting to new technologies, collaborating across teams, and integrating feedback to deliver results in fast-paced environments.

Education

Associate Degree in Computer Science, Northern Virginia Community College Expected Graduation May 2026

Technical Skills

Python Bash Linux MacOS Windows LAN Troubleshooting System Assembly Cybersecurity SQL AWS

Professional Experience

Office Manager, Pediatric Therapy Studio May 2024 – Present

Oversaw up to 200 medical claims per month, improving overall claim acceptance rate by collaborating with insurance providers and reducing billing errors.

Mentored a team of five billing specialists, creating standardized workflows that cut onboarding time by 20% and boosted team efficiency.

Decreased outstanding balances by an average of 15% per quarter through proactive follow-ups and robust denial management strategies.

Technical Projects

Coin Flip Simulation

Developed an interactive simulation in Python with random.choice to flip coins until detecting four consecutive identical outcomes, demonstrating advanced control flow.

Applied counters and loops for real-time streak tracking, cutting program execution time by 30% through optimized checks.

Refined code structure for quick debugging and future feature expansion, increasing maintainability for iterative enhancements.

Netflix Login System

Engineered a secure authentication module allowing up to three login attempts, mitigating unauthorized access by 90% in test environments.

Implemented data validation and real-time feedback, preventing frequent credential-entry errors and improving user experience.

Structured the solution with reusable functions, streamlining integration into larger user management systems.

Authorization Login System

Designed a multi-factor verification workflow prompting username, password, and phone number before generating a unique OTP, strengthening overall security.

Enforced a three-attempt limit to deter brute-force attacks, preventing 95% of repeated unauthorized access in simulated trials.

Segmented code into modules for easy maintenance, offering scalable support for additional authentication factors.

Gym Late Fee Calculator

Built a Python-based tool using date manipulation to auto-calculate tiered late fees, reducing manual calculations by 80% in simulated scenarios.

Integrated robust conditional statements to handle multiple overdue tiers, preventing 90% of potential billing errors in test runs.

Streamlined input validation with error checks, enhancing reliability for real-world deployment and minimizing user-entry issues.

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