🎓 Master’s student in Computer Science at the University of Illinois (expected May 2027).
🌱 Passionate about AI, Machine Learning, and App Development, with a focus on building impactful, real-world solutions.
💡 I love exploring new technologies and creating projects that enhance accessibility, safety, and communication.
📣 Actively seeking opportunities in Software Engineering, AI/ML, or Full-Stack Development.
Languages: Python, Java, C, C++, MATLAB, R
Web & Mobile Development: HTML, CSS, JavaScript, React.js, Node.js, Django, Flask, Flutter, Dart, Android Studio
Machine Learning & AI: TensorFlow, PyTorch, Keras, Scikit-learn, YOLO, NLP, Computer Vision
Data & Visualization: Pandas, NumPy, Tableau, Power BI
Cloud & Deployment Tools: Google Cloud, Docker, Firebase
Creative & Simulation Tools: Unity, Blender, Adobe Photoshop, Illustrator, Figma, Canva
- Truth Guard → Multi-modal fake content detection using CNNs, LSTMs, ResNet-50, and text classifiers; deployed with Django & Flutter.
- Voice Connect → Multilingual communication app supporting 22 Indian languages with real-time text-to-speech and speech-to-text translation.
- Thunderstorm Prediction System → AI/ML-driven aviation safety tool with NWP models, deep neural networks, and 3D radar visualization in Unity.
- 🥇 1st Prize – IEEE MAS Funding Project Contest (₹10,000)
- 🏅 Finalist – Google Hack4Change Hackathon (Top 30 out of 1000 teams)
- 📜 NPTEL Certification Excellence (IIT Initiative)
- ✍️ Peer Reviewer – IEEE International Conference on AI & Data Science
- 📄 Published Patent – AI/ML based Prediction of Thunderstorm and Gale-Force Wind Over An Airfield
- 📝 Published Research Paper – Accurate Fake News Prediction by Comparing the Performance of Machine Learning Algorithms
📧 gautami.ghadiyaram@gmail.com
📞 +1 (669) 274-8099
🔗 LinkedIn
💻 GitHub
🌐 Portfolio