With a strong academic background (B.Tech in Computer Engineering – 9.38 CGPA) and hands-on experience as an AI-ML Engineer at my previous company, I offer comprehensive development of AI models—from concept to deployment.
My approach blends research and real-world application. I've developed high-accuracy models like DeepLabv3+ for MRI segmentation (99.96% dice score), GAN-based model for virtual try-ons, and multi-class classification for dental implant system prediction. I build robust backend systems using Flask and FastAPI, deploy models on cloud-based Linux servers, and integrate responsive frontends with ReactJS and Firebase.
I've co-authored a chapter named Quantum Concealed Secured Identifiers for 6G in a book called Quantum Machine Learning for 6G applications.
My service covers the full AI lifecycle: problem scoping, dataset curation, model development and training, evaluation (using metrics like accuracy, F1, and explainability tools like Grad-CAM), deployment, and user interface integration. I also have experience with CI/CD, Docker, and real-time systems, ensuring each solution is scalable and production-ready.
Let’s turn your AI vision into a working, intelligent solution—efficiently and end-to-end.