Miriyala Saikalyan

Software Engineer

Gwalior, Madhya Pradesh, India4 yrs experience

Highly Stable

Key Highlights

Interned at Google, contributing to cloud infrastructure.
Developed a scalable log delivery service.
Strong background in competitive programming.

Stackforce AI infers this person is a SaaS-focused Software Engineer with expertise in cloud infrastructure and development.

Contact

Skills

Core Skills

Project ManagementGoogle Cloud Platform (gcp)

Other Skills

infrastructure designKubernetesCloud RunCloud PubSubCloud StoragePythonGo (Programming Language)RubyBashData StructuresAlgorithmsWeb DevelopmentGraphic DesignMicrosoft OfficeC++

About

An Undergrad IT student keenly interested in competitive programming and Software development. I have Interned at Google India as a Software Engineer, worked under the Looker Team in Google Cloud. My contribution to the team's product was to develop a Log Delivery Service for its customers. I have a strong suit in DSA, I am familiar with web development in MERN stack, hands-on experience in Flask. Stopstalk:https://www.stopstalk.com/user/profile/kalyan77 Github: https://github.com/kalyanm72

Experience

4 yrs

Total Experience

4 yrs

Average Tenure

4 yrs

Current Experience

Google

3 roles

Software engineer III

Nov 2023 – Present · 2 yrs 6 mos · Hyderabad, Telangana, India

Project Managementinfrastructure design

Software Engineer

Jul 2022 – Oct 2023 · 1 yr 3 mos · Hyderabad, Telangana, India

KubernetesGoogle Cloud Platform (GCP)

Software Engineer Internship

May 2021 – Aug 2021 · 3 mos · Hyderabad, Telangana, India

Looker Team, Google Cloud
Part of Cloud Infra team, To develop a scalable log delivery service.
Researched about various security permission and Credential management tools in GCP.
Developed an End-End Log Delivery service to ship logs regularly from Google infrastructure to customer clouds, Simulated new customers' registration to the service using python scripts and Cloud console commands.
Relied on Google Cloud Run's Concurrency to handle scalability.
Implemented unit tests to verify the correctness of every Module.
Majorly used GCP technologies like Cloud Run, Cloud PubSub, Cloud Storage, and Python.

Cloud RunCloud PubSubCloud StoragePythonGoogle Cloud Platform (GCP)