Summary
Shruti Shrestha is a Machine Learning Operation Engineer with 8 years of experience bridging deep learning research and production-grade MLOps, currently driving model deployment and data pipelines at VyStar Credit Union. She combines hands-on expertise in distributed training, PyTorch, Hugging Face, MLflow, and LangChain with cloud-native tooling (AWS/Azure, Docker, Kubernetes, Argo CD) to deliver scalable, reliable ML systems. Her background includes research on solar magnetogram super-resolution and GNNs for intrusion detection, plus applied wins like speeding GPU data pipelines with NVIDIA DALI and improving polyp segmentation accuracy through novel architectures. Comfortable moving models from prototype to production, she also has full-stack engineering roots—building recommendation and spam-detection systems that materially increased user engagement. Based in Jacksonville, FL, Shruti blends academic rigor with practical optimizations and a knack for shaving training and inference costs while preserving model performance.
8 years of coding experience
6 years of employment as a software developer
High School Degree, PHYSICAL SCIENCES, 11-12, High School Degree, PHYSICAL SCIENCES, 11-12 at United Academy
School Level Certificate, Junior High/Intermediate/Middle School Education and Teaching, School Level Certificate, Junior High/Intermediate/Middle School Education and Teaching at Holy Vision H. S. School
Graduate Degree, Computer Science, Big Data and Machine Learning, Graduate Degree, Computer Science, Big Data and Machine Learning at Georgia State University
Bachelor of Engineering - BE, Compute Engineering, Bachelor of Engineering - BE, Compute Engineering at Advanced College of Engineering and Management