Yash Upadhyay

Software Engineer

Bengaluru, Karnataka, India3 yrs experience

Highly StableAI Enabled

Key Highlights

Expert in Go and AWS for backend solutions.
Proven track record in automating cloud infrastructure.
Strong focus on optimizing performance and reliability.

Stackforce AI infers this person is a Backend and DevOps Engineer specializing in SaaS and cloud infrastructure.

Contact

Skills

Core Skills

GoAwsKubernetesJava

Other Skills

AlgorithmsC++Computer ScienceData StructuresDockerGinkgoGoogle Cloud Platform (GCP)LinuxNode.jsProgrammingPrompt EngineeringREST APIsShell ScriptingTerraform

About

I am a backend and DevOps engineer with 2.5 years of experience designing and delivering scalable, resilient systems. My core expertise spans Go, Java, AWS, Terraform, Kubernetes, and Docker, enabling me to build high-performance services and streamline cloud infrastructure operations. I am driven by solving complex engineering challenges—whether optimizing distributed systems, enhancing API performance, or automating environments for reliability and efficiency. I approach every project with a balance of structured problem-solving and innovation, aiming to deliver solutions that are both practical and forward-looking. I continuously explore emerging technologies and value collaboration with teams that push boundaries and shape impactful products. Let’s work together to build what’s next in technology.

Experience

Roost.ai

2 roles

Member of Technical Staff

Oct 2022 – Oct 2025 · 3 yrs · Bengaluru, Karnataka, India · Remote

Automated Kubernetes resource management using GoLang SDK and APIs, reducing deployment time by 25% and improving operational efficiency.
Developed and maintained high-performance GoLang server with optimized REST APIs, achieving 40% faster response times and scalable backend operations.
Executed end-to-end development of Java IntelliJ plugin and VS code extension for AI-driven test generation, reducing developer effort by 50% and enabling seamless test editing and execution within the IDE.
Created and maintained Kubernetes manifests and Helm charts, optimizing deployment scalability and
performance for efficient management of containerized applications.
Deployed AWS infrastructure using Terraform, streamlining cloud resource management and ensuring
consistency across environments for faster scaling.
Expanded the capabilities of AI-driven unit test generation across Java, C#, and GoLang through AST
integration, boosting code coverage by 55% and reducing effort for manual test creation.
Led the effort of automating test generation for Postman and RestAssured frameworks using AI, improving test quality by 40% and reducing manual effort for better testing efficiency.
Utilized Docker to develop and deploy microservices, ensuring seamless integration and facilitating the
management of modular services in a microservices architecture.

GoJavaAWSTerraformKubernetesDocker

Software Trainee

Jan 2022 – Sep 2022 · 8 mos · Bengaluru, Karnataka, India · Remote

Implemented customized polling mechanisms for Docker registries. Automated image updates to facilitate seamless deployment of new and updated versions across integrated repositories, ensuring continuous deployment efficiency.
Optimized Linux and Windows systems to support single worker node scenario with RKT as the control plane. Enhanced scalability and stability in multinode cluster setups, ensuring robust performance across different operating systems.
Crafted end-to-end test cases for diverse backend components using Ginkgo, increasing test coverage by 45% and ensuring comprehensive quality assurance and robust functionality.

DockerLinuxGinkgo