Pratheek Kachinthaya

I’m a B.E. (Information Science and Engineering) student and DevOps & Cloud Engineer intern focused on turning complex systems into reliable, automated pipelines. I enjoy designing deployment workflows that are repeatable across environments.

At Sustainext, I developed automated deployment scripts for a production Django application on AKS, writing Kubernetes manifests, Dockerfiles, and RBAC configurations. I also helped build a GitHub Actions CI/CD pipeline with secrets management, reducing release cycle time and removing manual steps.

I use Infrastructure as Code to scale and stabilize cloud infrastructure, creating reusable Terraform and Ansible automation modules and Bash scripts for Azure provisioning. I’ve also analyzed AKS workload patterns and documented autoscaling recommendations (HPA, VPA, KEDA) to optimize compute costs, and authored Azure–AWS cross-cloud integration documentation.

In my projects, I build production-style MLOps and monitoring systems: LoanSight AI (FastAPI + AWS ECS Fargate + Terraform + GitHub Actions), Multiscale Drift Detector (multi-scale drift scoring and dashboards), and SmartMeetAI (multi-agent transcription/summarization with automated email dispatch). I’m motivated by dependable automation, clear documentation, and end-to-end reliability.