Muadh George
Actively seeking New Grad Software Engineering roles and Internships for 2025.
About Me
I'm a passionate Software Engineer pursuing my degree in Computer Science at Georgia Institute of Technology. With a strong foundation in full-stack development, cloud technologies, and artificial intelligence, I thrive on creating innovative solutions that solve real-world problems.
My experience spans from implementing secure authentication systems to developing AI-driven applications that serve thousands of users. I'm particularly passionate about leveraging cutting-edge technologies like OpenAI, cloud services, and modern web frameworks to create impactful solutions.
When I'm not coding, you'll find me exploring the latest developments in AI and machine learning, contributing to open-source projects, or mentoring fellow developers. I believe in continuous learning and staying at the forefront of technology innovation.
5+ Projects
AI-Driven Applications
3.50 GPA
Computer Science
4+ Roles
Professional Experience
Research
UN SDGs Analysis
Education
Relevant Courses:
Experience
Automated lead capture and scalable payment processing. Reduced customer response latency by 40% and increased lead conversion by 20%. Architected AI chatbots using Google Cloud/OpenAI and integrated Stripe with Next.js.
Visualized complex urban inclusivity patterns for UN SDG initiatives. Optimized data processing efficiency by 25% and built predictive models using Python, Pandas, and TensorFlow.
Strengthened platform security with JWT protocols. Boosted database query efficiency by 50% using Azure Cosmos DB and reduced support resolution time by 30%.
Boosted user engagement by 40% and reduced page load latency by 35%. Developed a responsive Next.js 14 web app with Edge Functions and MySQL.
Technical Projects
Architected a serverless video streaming platform. Built a Go-based Lambda backend with concurrent routines for metadata fetching, achieving 40% lower latency via CloudFront edge caching and 99.9% uptime.
A hardware-accurate GPU simulator that parses NVIDIA SASS to detect thread divergence. Implemented a SIMT stack with immediate post-dominator reconvergence, resolving 100% of divergence cases in test workloads.
Implemented advanced search algorithms (DFS, BFS, A*, and Minimax) to optimize autonomous agents. Designed heuristics that reduced search space expansion by over 60% in complex maze environments.
Technical Skills
Get In Touch
I'm always interested in discussing new opportunities, innovative projects, or just connecting with fellow developers. Let's build something amazing together!