I have experience working on open-source projects in a dynamic and fast-paced startup environment.
🔍 Analyzed the company’s Azure infrastructure spending, identified cost-saving areas, and executed a plan reducing Kubernetes compute resources by 60%.
🔨 Improved CI\CD pipelines efficiency for streamlined software deployment on Kubernetes clusters.
🔨 Led the refactoring of an internal repository supporting langchain agents and backend handling messages for GPT-like chat interface.
⏫ Developed an automated quality control tool for client data analysis, significantly reducing the time for checking the quality of ingested data.
🛠️ Fully owned the development of a dashboard written in Typescript and NuxtJS that enabled internal users to check quality of data during ingestion. The dashboard displayed the user data loaded from Databricks and provided functionality to run queries on the data.
🎉 Commenced a six-month internship in July 2022, swiftly transitioning to a full- time role after a mere three months, during which I operated remotely on a full-time basis.
🔑 Contributed as a key member of the infrastructure team to the creation of a Kubernetes operator in Go, deployed within AWS. This operator managed the deployment of CRDs developed by our team. Additionally, worked on the development of a Rest API that received requests to deploy and retrieve the CRDs.
🔨 Worked extensively on developing and testing new features for an open-source Python CLI tool. This empowered users to deploy flows on the company’s Kuber- netes cluster.
❓ Explored the integration of Dragonfly into the tech stack of the infrastructure team to accelerate container image retrieval. Used Helm for the deployment and configuration of the tool and utilized Terraform to provision AWS resources essential for running Dragonfly.
🔨 Owned the development of a Golang CLI tool that allowed users to deploy an open-source Kubernetes operator and the company’s embedding models on any Kubernetes cluster.
🔨 Implemented CI\CD pipelines to deploy and test the Kubernetes operator and CLI tools using Github Actions.
- Identified a bug in
k3swhen creating an agent node with--vpn-auth-filek3s-io/k3s#10119
Built a Raspberry Pi Kubernetes cluster with K3S. It uses ingress-nginx for ingress and MetalLB for bare metal Load Balancer, and Longhorn to provision volumes.
Building a custom dashboard for my Raspberry Pi Kubernetes cluster. k3S Dashboard