Software Issue Resolution

Zain Ghanim Email: **********@*****.***

LinkedIn & Github Mobile: 315-***-****

Professional Summary

• Background: Agile-minded developer skilled in building and optimizing full-stack applications with scalable backends and interactive frontends. Experienced in multiple languages, database design, and system-level problem-solving. Ready to contribute immediately and grow into .NET Core development.

Technical Skills

• Programming: Python, C++, C, Java, VBA, JavaScript, Bash, Racket, Haskell

• Web Stack: JavaScript, HTML/CSS, Bootstrap, RESTful APIs

• Database & Backend: SQL (MySQL, SQLite, T-SQL), Bash scripting, Excel Automation

• Concepts: Software Architecture, Agile, MVC, OOP, T-SQL Optimization, Network Protocols, Git

• Frameworks & Tools: Git, PyTorch, Visual Studio Code, Excel Macros, Basic Angular, Exploring .NET Core

• AI/ML Integration: OpenAI APIs, Azure AI concepts, custom PyTorch models

• Soft Skills: Rapid Learning, Team Collaboration, Critical Thinking, Dual-Language Communication

• Certifications: Green Belt & Black Belt – Design for Six Sigma Experience

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General Motors Warren, MI / Ramos, Mexico / Hybrid Software Issue Resolution Team Specialist June 2024 - Present

Diagnosed and resolved complex software issues across multiple production vehicle lines using structured debugging and systems integration logic.

Led Agile-style cross-functional reviews with development, QA, and diagnostics teams to improve production readiness.

Reported and escalated top system defects using internal ticketing and analytics systems for data-driven prioritization.

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General Motors Warren, MI / Hybrid

Interiors - Safety - Seatbelt Program Manager June 2023 - June 2024

Developed and maintained an automated Excel-VBA tool to eliminate 99% of manual entry work—demonstrated end-to-end app logic.

Engineered feature validations, product logic, and risk mitigations to launch programs on time across multiple vehicle platforms.

Applied C/C++-based thinking to improve legacy system integration and executed performance optimization under extreme deadlines.

Projects

• AI Text Classifier for Business Review Automation:

Designed a PyTorch model to classify sentiment in executive reviews and integrated it with Excel macros for enterprise use.

Reduced manual sorting time from weeks to minutes, showcasing AI integration and front-end automation.

• Diabetes & COPD Predictive Models:

Built neural networks from scratch using PyTorch and Python to classify patient health data with strong accuracy.

Applied model tuning, loss optimization, and interpretability strategies to align with real-world predictive needs. Skills

• Languages: Data Analytics, SQL & Python Programming, Data Visualization (Power BI, Tableau), Predictive Modeling, Cross-Functional Collaboration, Data Integrity & Quality Control, Strategic Problem Solving Education

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Syracuse University, College of Engineering and Computer Science Syracuse, NY Bachelor of Science in Computer Science; GPA: 3.66

• Other: US Citizen (No sponsorship required)

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