Summary
Amit Upreti is an MLOps engineer with 9 years of software experience, currently building scalable ML workflows at CARFAX using Kubernetes, Docker, Helm, MLflow and Flyte. He transitioned from backend development—where he optimized high-volume accident data ETL pipelines and mentored analysts—to production ML operations, combining practical data engineering chops with cloud-native tooling. His background blends a Master’s in Computer Science from the University of Alberta, a Udacity Deep Learning Nanodegree, and AWS certification, enabling him to bridge ML research and production reliably. Comfortable across the stack, Amit has repeatedly driven migrations to modern cloud infrastructure and instrumented systems with Grafana, Prometheus and Loki for observability. He’s motivated by continuous learning and collaborative problem solving, often surfacing efficiency gains that reduce runtime and operational overhead.
9 years of coding experience
6 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at University of Alberta
Bachelor's degree Computer Engineering, Bachelor's degree Computer Engineering at Kathmandu University (KU)
Deep Learning Nano Degree Deep Learning, Deep Learning Nano Degree Deep Learning at Udacity
+2 Science, +2 Science at Kathmandu Model College
English