AI / ML Engineer · Deep Learning · MLOps · Open Source
I’m a Computer Science & Data Science undergraduate focused on building
practical machine learning systems that move beyond notebooks and into real applications.
My interests lie at the intersection of:
- Deep Learning research and implementation
- ML system design
- Model deployment and MLOps infrastructure
I enjoy working on end-to-end ML systems — from data pipelines and model training
to inference APIs and production deployment.
- Building Deep Learning models with PyTorch
- Designing reproducible ML training pipelines
- Learning MLOps practices: experiment tracking, model versioning, CI/CD for ML
- Developing ML-powered APIs and inference services
- Deep Learning architectures and training systems
- ML model deployment and inference optimization
- MLOps pipelines and reproducible experimentation
- Applied AI systems and open-source ML tools
- LinkedIn: https://linkedin.com/in/sarvadubey
- Email: [email protected]