π M.S. Computer Science @ NYU
π» Software Developer | AI/ML Engineer
π New York, NY
π LinkedIn
- π Graduate student at NYU with a strong foundation in AI, ML, and systems
- π€ Passionate about building intelligent, real-world applications
- β‘ Experience in Computer Vision, NLP, and Data Engineering
Languages:
Python | JavaScript | C/C++ | SQL
Frameworks & Tools:
React | FastAPI | AWS | Firebase | Git
ML & Data:
PyTorch | TensorFlow | OpenCV | scikit-learn | Pandas | NumPy
- Built CNN-based incremental learning system (85% retention accuracy)
- Evaluated Vision Transformers vs CNNs for knowledge distillation
- Developed YOLOv8 model for road crack detection (91% precision)
- Improved recall by 50% using image preprocessing techniques
- Built system to detect AI-generated code using software metrics
- Applied clustering techniques (Cyclomatic Complexity, Halstead Metrics)
π https://github.com/Namantyagi2727/Student-Performance-Visualization
- Built interactive analytics platform (RΒ² = 0.88)
- Used SHAP + UMAP for explainability
- Building a Django Application for logging restaurant ratings
- User can recommend restaurants to friends
- Controlled cursor using hand gestures + facial tracking
- Built with OpenCV + MediaPipe + PyAutoGUI
- πΌ LinkedIn: https://www.linkedin.com/in/ananya-agarwal03/
- π§ Email: aa13549@nyu.edu
- π» GitHub: https://github.com/happyananya
β Powered by: Coffee + curiosity
βοΈ Thanks for visiting my profile!

