Experience

Where the work happened

Three engagements, each with a different constraint: an audited delivery pipeline, a model-serving platform, and cloud architecture where cost and blast radius were written down before anything was provisioned.

Record4 roles

  1. Mar 2026 — Apr 2026

    2 months

    Traineeship

    Trainee DevOps Engineer

    acAIberryKathmandu, NepalRemote

    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.
    • Ansible
    • GitLab CI
    • AWS SageMaker
    • Amazon S3
    • IAM
    • CloudWatch
    • Docker
    • Prometheus
    • Grafana

  2. May 2025 — Dec 2025

    8 months

    Fellowship

    Fellow AI/MLOps Engineer

    FusemachinesKathmandu, NepalRemote

    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.
    • K3s
    • Kubernetes
    • Docker
    • FastAPI
    • Python
    • Prometheus
    • Grafana
    • Helm
    • GitHub Actions

  3. Nov 2024 — Feb 2025

    4 months

    Apprenticeship

    Apprentice Solutions Architect

    Adex InternationalKathmandu, NepalOn-site

    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.
    • AWS
    • Terraform
    • EC2
    • VPC
    • IAM
    • RDS
    • S3
    • ALB
    • CloudWatch
    • Route 53
    • CloudTrail
    • GuardDuty

  4. Jun 2024 — Oct 2024

    5 months

    Volunteer

    Cloud Engineering Trainee

    Mentor Me CollectiveKathmandu, NepalRemote

    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.
    • AWS
    • Linux
    • Docker