
Shetty Shreya Jayaram
@shettyshreyajayaram
I build production ML pipelines, platforms, and reliable model deployment infrastructure.
What I'm looking for
At New Relic, I build end-to-end AWS SageMaker pipelines for recommendation, churn prediction, and anomaly detection models, covering feature engineering through monitoring.
I created a SageMaker Feature Store and an internal LLM Gateway package used by data science and ML engineering teams for reusable data, routing, summarisation, and monitoring utilities.
Previously at Mitsogo Technologies (Hexnode), I provisioned AWS infrastructure, orchestrated Kubernetes workloads, automated GitLab CI/CD deployments, and established Grafana and Prometheus observability for production systems.
Experience
Work history, roles, and key accomplishments
Built end-to-end MLOps pipelines on AWS SageMaker for production ML models across recommendation, churn prediction, and anomaly detection. Designed and maintained a SageMaker Feature Store and developed model monitoring pipelines to track data and feature drift.
Education
Degrees, certifications, and relevant coursework
Mangalore Institute of Technology & Engineering
Bachelor of Engineering, Computer Science & Engineering
2018 - 2022
Grade: CGPA: 9.0
Bachelor of Engineering in Computer Science and Engineering from Mangalore Institute of Technology & Engineering, Moodbidri, with a CGPA of 9.0.
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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