AWS
ML
Open to opportunities

Hi, I'm

Akul Gopal
Devali

Cloud & MLOps Platform Engineer

Building scalable Kubernetes platforms and ML infrastructure. MS Computer Science @ NC State University.

2+Years Exp.
15+Technologies
2Certifications
AGD
Akul Gopal Devali
AWS Certified
Kubernetes

Who I Am

Software developer with a passion for cloud and platform engineering. I automate obsessively — release pipelines, build promotion, change management, the full lifecycle of getting code safely from a branch to production.

Lately deep in Kubernetes: staring at CrashLoopBackOffs, writing Helm charts, configuring Ingress controllers, untangling cluster networking. Pursuing my Master of CS at NC State University

Phone+1 (919) 521-2861
LocationRaleigh, North Carolina
StatusOpen to opportunities across USA

Technical Stack

🤖 ML Platform & MLOps

KF
Kubeflow
ML
MLflow
KS
KServe
DV
DVC
CD
Argo CD
MR
Model Registry
MM
Model Monitoring

☁️ Cloud & Infrastructure

AWS
Kubernetes
Terraform
Helm
Ansible
Docker
IS
Istio

📊 CI/CD & Observability

GitHub Actions
Jenkins
Grafana
Prometheus
k6
k6
Python
Bash

Work History

Cloud Platform Engineer

Liquid Rocketry Lab — Raleigh, NC

Aug 2025 – Present

I'm building a Kubernetes-based distributed replay platform from scratch — owning everything from cluster topology and network architecture to deployment automation. One of the more interesting problems has been enabling 1:1 user-to-pod isolation through carefully crafted Services and Ingress routing, so every concurrent session gets its own sandboxed environment. I automated the full environment provisioning lifecycle with Jenkins, so new replay instances spin up and tear down without any manual intervention.

The platform now handles up to 20,000 concurrent replay sessions with dynamic resource orchestration, and has held 99.999% availability under sustained simulation workloads across both Akamai and AWS EKS clusters.

KubernetesJenkinsAWS EKSAkamai

Cloud Engineering Intern

Brane Services Pvt Ltd — Bengaluru, India

Aug 2022 – Feb 2023

My main focus was making 15+ microservices more reliable and cost-efficient. I built an internal reliability platform that automated capacity benchmarking and surfaced performance trends before they turned into production incidents. On the cost side, I cut AWS compute spend by 25% — mostly through instance right-sizing and shifting 60% of workloads to spot instances with smart scheduling policies.

I also built a load testing framework with K6 wired directly into the Jenkins CI/CD pipelines as a performance quality gate — if a build failed load tests in staging, it didn't go to production, full stop. That alone cut manual testing effort by 40% and kept regressions from slipping through. To close the loop, I set up a Grafana and Prometheus observability stack that gave the whole team real-time health visibility across every environment.

AWSK6GrafanaPrometheusJenkins

Featured Work

MLOps Churn Prediction Platform
MLOps
Jan 2026 – Mar 2026

MLOps Churn Prediction Platform

End-to-end MLOps pipeline for training, versioning and deploying a churn prediction model. GitOps deployment with Argo CD, automated CI with GitHub Actions, and scalable inference with KServe on Kubernetes backed by AWS S3.

Argo CDKubernetesKServeGitHub ActionsAWS S3Python
View on GitHub
Containerized Microservices Deployment
CI/CD
Aug 2025 – Dec 2025

Containerized Microservices Deployment

Robust CI/CD pipeline for a Node.js app with shift-left security — pre-commit hooks for static analysis, CI scans for vulnerabilities, Ansible playbooks for config management, and a k6 performance quality gate blocking regressions in staging.

GitHub ActionsEC2Ansiblek6DockerGitFlow
View on GitHub

Academic Background

🎓

Master of Computer Science

North Carolina State University

Raleigh, NC, USA

Aug 2024 – May 2026 GPA: 3.9 / 4.0

Coursework: Algorithm Design, DevOps, Computer Networks, Cloud Computing, Software Engineering

🏛️

B.E. in Computer Science

Vidyavardhaka College of Engineering

Mysuru, India

Aug 2018 – Jul 2022 CGPA: 8.4 / 10

Recognition & Certifications

🏆

AWS All Builders Welcome Grant

Awarded to attend AWS re:Invent Las Vegas 2025 for contributions to Cloud and DevOps learning.

☁️

AWS Certified Solutions Architect

Associate-level certification in designing distributed systems on AWS.

🌐

Google Cloud Specialization

Completed Architecting with Google Compute Engine specialization on GCP.

👨‍🏫

Teaching Assistant — NC State

TA for IT Concentration Business Management. Active in Google Developer Student Club Cloud Chapter.

Get In Touch

Open to full-time roles, internships, and interesting projects.