- 🔬 Passionate about solving real-world problems with Machine Learning, Graph Neural Networks, and Backend Engineering
- 🔧 Currently building scalable tools at ProStruct Engineering using Node.js, Docker, and async queuing
- 🧠 Authored 4 research papers in RecSys and Deep Learning
- 💡 Keen on architecting systems using Django, FastAPI, and Microservices
- 📫 Reach me at: chiraggoel246@gmail.com | LinkedIn
🔐 AaaS Labs | Node.js, Django, Nmap, Docker, AI
- Developed real-time vulnerability scanning system with parallel scans and auto-remediation AI
- Used Gobuster, WPScan, SQLMap, and GitHub API for deep scanning
- Deployed with microservices and canary releases; won SANS AI Hackathon 2025
📲 MiHostel | Flutter, MongoDB, ML, Python
- End-to-end hostel booking system with ML-based allocation & secure payments
- Used MVVM architecture and GetX for scalable and reactive UI
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Goel, C., & Sinha, B. B. (2023).
Cross-Domain Collaborative Filtering: A Graph Neural Network Approach for Accurate and Diverse Recommendations
2nd International Conference on Data Science, Agents and Artificial Intelligence (ICDSAAI), 2023 -
Goel, C., & Sinha, B. B. (2023).
Cross-Domain Collaborative Filtering: A Deep Neural Network Approach for Accurate and Diverse Recommendations
Proceedings of the International Conference on Machine Learning and Data Engineering (ICMLDE), 2023 -
Goel, C., & Sinha, B. B. (2023).
Rethinking and Unravelling the Complexity of Breast Cancer: An Integrative Approach to Detection and Diagnosis
8th International Conference on Computing in Engineering and Technology (ICCET), 2023
- 👨🎓 Amazon ML Summer School Mentee – Top 0.1% among 17,000+ applicants
- 🥈 2nd Place @ Healthathon Datathon 2022 – 150+ datasets scraped & engineered
💬 “Engineering is not only about coding but solving meaningful problems with elegance and impact.”