WELCOME TO MY PORTFOLIO
Hi, I'm Moeez Ahmad
Software Engineer · Startup Enthusiast
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About Me
I'm a software engineer focused on Applied AI and full-stack development, interested in building software systems that solve real-world problems. I enjoy turning AI models into real, usable products and bridging the gap between research and practical applications.
My experience includes AI research on indoor navigation for visually impaired users and building interactive systems that teach sustainable farming through aquaponics.
I'm curious, detail-oriented, and driven by impact. I value a growth mindset and am always looking to learn, improve, and explore new technologies.
Education & Skills
Virginia Tech
Blacksburg, VA
Bachelor of Science in Computer Science
Dec 2025
Languages
Frameworks
Libraries
Developer Tools
Experience
Aug – Dec 2025
Software Developer
Virginia Tech Visionarium Lab
- ›Developed RESTful backend APIs for an aquaponics simulation web application using Node.js and Express.js, enabling dynamic interactions between fish, plant, and water systems and supporting seamless frontend integration
- ›Designed and optimized relational database schemas in PostgreSQL, improving query efficiency by 15% and ensuring reliable storage and retrieval of simulation data under concurrent usage
- ›Conducted end-to-end testing of API endpoints using automated validation scripts, improving backend reliability and ensuring consistent performance across multiple user sessions
Jan – Aug 2025
ML Research Assistant
Virginia Tech CS
- ›Improved indoor navigation for visually impaired users by 25% via SmartGuide, integrating semantic segmentation, depth estimation, and feature tracking to build a computer vision pipeline trained on 50,000 images
- ›Trained a YOLOv12 object detection model in PyTorch on the large-scale dataset, focusing on detecting dynamic indoor objects such as furniture, obstacles, and people, while improving inference speed for real-time applications
- ›Achieved a 12% increase in precision and 21% improvement in recall, significantly boosting model accuracy and reliability for real-time navigation in complex indoor environments
Aug – Dec 2025
Undergraduate Teaching Assistant
Virginia Tech CS
- ›Supported 100+ students in database concepts, including ER modeling, relational design, and SQL querying
- ›Led discussions and debugging sessions to resolve SQL and database management issues
- ›Guided students through complex database design and implementation challenges during office hours
Jan 2024 – Sep 2025
SWAT Technician
Virginia Tech College of Engineering
- ›Resolved 200+ software issues for faculty and students, ensuring high system uptime
- ›Used ServiceNow to handle IT tickets with a 95%+ resolution rate for network and OS problems
- ›Improved troubleshooting workflows, reducing recurring software-related tickets by 20%
Projects
InvestQuest
A gamified stock-market learning app that lets users simulate trading with quests and leveling to boost engagement. Integrated machine learning models for real-time trend and risk predictions, and interactive visualizations for quick portfolio insights.
TravelMate
An AI travel assistant that translates 20+ languages in real-time and delivers personalized restaurant, attraction, and activity recommendations, reducing trip planning time by 30%.