Gokul Upadhyay Guragain

Delivery and MLOps work on a healthcare platform operating under HITRUST, where the pipeline is an audited control rather than convenience tooling.

• Automated infrastructure and deployments with Ansible, replacing manual host configuration with idempotent, version-controlled playbooks.
• Enabled MLOps workflows on AWS SageMaker so training became a reproducible pipeline execution and the model registry became the only route to an endpoint.
• Built and maintained secure GitLab CI pipelines for HITRUST-compliant healthcare systems, with each control stage emitting retained evidence rather than a transient log line.
• Strengthened monitoring, logging and security practices across ISO-aligned, data-sensitive environments.

Containerised ML pipelines and K3s-hosted inference, instrumented so that a model service is treated as a production service with an extra failure mode.

• Deployed inference services on K3s, giving training and serving identical environments through a shared, version-pinned base image.
• Applied monitoring and logging that pairs request metrics with prediction-distribution metrics, which is what surfaces a model that is healthy, fast and wrong.
• Built containerised ML pipelines with FastAPI and Docker for automated training and inference workflows.
• Implemented model versioning, experiment tracking and GitHub Actions CI/CD so a deployment and its model roll back together as one image digest.

AWS architecture work where availability, cost and blast radius were treated as one conversation, and Terraform was the primary artefact rather than an afterthought.

• Designed highly available AWS architectures across EC2, VPC, IAM, RDS, S3 and Application Load Balancer, with availability decided per failure domain and each answer carrying a stated cost.
• Automated infrastructure provisioning with Terraform, structured as composable modules so an environment difference is a variable file.
• Implemented IAM least-privilege policies derived from the workload rather than from service-level wildcards, plus network segmentation that removed flat internal connectivity.
• Applied cost optimisation through right-sizing against observed utilisation and scheduling non-production environments outside working hours.

Structured cloud engineering training built around practical tasks rather than lecture material.

• Worked through cloud engineering tasks against real-world use cases rather than isolated exercises.
• Built foundational skills in cloud architecture, deployment and infrastructure management that the Adex apprenticeship then put under deadline pressure.

Undergraduate degree taken alongside apprenticeships and community work, which is where most of the applied infrastructure learning actually happened.

• Co-founded the AWS Student Builder Group at LBEF and served as College Representative for AWS Cloud Club Nepal.
• Delivered hands-on Git, GitHub and AWS fundamentals workshops to fellow students as a trainer rather than an attendee.
• Organising committee member for Hack X @ LBEF, a 48-hour hackathon.

Higher secondary education in the science stream.

Selected into the AWS Community Builders programme. Organised and delivered workshops on AWS developer tools, Git and deployment pipelines, helping students and developers pick up DevOps and cloud engineering through hands-on sessions rather than slides.

Co-founded the student builder group at LBEF and ran the founding orientation and onboarding session for the executive members and board in June 2026.

Selected as College Representative for the 2025/26 tenure, coordinating cloud community activity at LBEF and contributing to AWS Cloud Club Nepal events.

Completed the Aspire Leaders Programme. Case-based learning and discussion with a globally distributed cohort, focused on leadership and structured problem solving.

Co-delivered a hands-on Git and GitHub workshop. Participants worked on a shared repository, opened branches and pull requests, and handled reviews, merges and conflicts as they occur in real projects.

Spoke at the GitHub Universe watch party at LBEF, covering modern GitHub workflows, collaboration practice and how students can use version control for projects and internships.

Contributed to building an active student technology community and volunteered at AWS Student Community Day 2024, supporting event coordination.

Helped organise a 48-hour hackathon, managing participants and technical coordination and supporting teams through execution.

Supported the AWS Women Summit Nepal 2025 on International Women's Day, themed around diversity, equity and inclusion in the cloud era.

Contributed to club activities, community service and volunteer initiatives, and assisted in organising events.