Saravana Balaji

Software Engineer

Bengaluru, Karnataka, India6 yrs 2 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Proven track record in leading key projects at Amazon.
Expertise in cloud computing and software architecture.
Strong foundation in data analytics and machine learning.

Stackforce AI infers this person is a Cloud Computing and E-commerce specialist with a strong focus on software development and data analytics.

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Skills

Core Skills

ReactJavaFunctional TestingReact.jsAndroid DevelopmentGoogle Cloud Platform (gcp)Ruby On RailsRaspberry PiHtml5

Other Skills

Integration TestingAmazon Web Services (AWS)TypeScriptTechnical SupportUnix/LinuxCloudSQLSoftware InfrastructureDevOpsFront-End DevelopmentRabbitMQEmbedded CJavaScriptCSSData AnalysisData Mining

About

AI, Data Analytics and ML enthusiast who profoundly believes that almost all real-world business problems have technological solutions, and is always euphoric to work on them.

Experience

6 yrs 2 mos

Total Experience

2 yrs

Average Tenure

4 yrs 9 mos

Current Experience

Amazon

3 roles

Software Development Engineer II

Aug 2023 – Present · 2 yrs 10 mos

Designed and developed optimal solution to make the UK Amazon career site compliant to GDPR restrictions by allowing users to customize their first and third-party cookie preferences.
Architected and implemented changes needed to launch the Amazon career site in Egypt and Jordan including acquisition of new domain, implementation of translations, review with legal for regional law compliance.
Maintained and enhanced operational excellence of key production systems in Amazon career and retail websites. Reduced ticket volume by 40% through troubleshooting, bug fixing, alert optimization and code improvements, improving incident response time.
Experience being the scrum master in an agile-based software development ecosystem.

ReactJavaFunctional TestingIntegration TestingAmazon Web Services (AWS)

Software Development Engineer II

Promoted

Jul 2023 – Present · 2 yrs 11 mos

Led several key projects including the introduction of installment options in Amazon e-commerce retail website in France and Spain, and improvement of accessibility features in the Amazon Appstore in Windows increasing customer satisfaction scores significantly.
Improved the technical excellence standards by implementing changes in the Amazon payments service architectures to increase their fault tolerance, testability and adherence to SLOs.
Promoted in less than 2 years of being a part of the Amazon Payments team and consistently displayed excellence in Amazon leadership principles.

JavaAndroid DevelopmentTypeScriptReact.js

Software Development Engineer

Aug 2021 – Jun 2023 · 1 yr 10 mos

Google

Technical Solutions Engineer

Aug 2020 – Aug 2021 · 1 yr · Bengaluru, Karnataka, India

Collaborated with 100+ enterprise customers of Google Cloud Platform to troubleshoot, debug, maintain and fix their software service architecture when using GCP storage and database products.
Demonstrated strong Unix/Linux expertise when root causing 100+ customer production issues and reducing the resolution time for high severity incidents.
Built key features in internal chatbot that helped in automating highly repetitive and manual tasks performed by Technical Solutions Engineers within the team.
As part of a 20% project, restructured experiments in the Google Meet team's code base. Contributed to code refactoring to improve readability, and maintainability.

Technical SupportGoogle Cloud Platform (GCP)Unix/LinuxCloudSQL

Freshworks

Software Engineer Intern

Jan 2020 – Jul 2020 · 6 mos · Tamil Nadu, India

Designed a centralized Ruby on Rails web application that merged diverse Freshservice Admin pods; this innovation enhanced platform functionality, resulting in streamlined workflows for over 8 team members and boosted overall productivity significantly.

Software InfrastructureRuby on RailsDevOpsJavaFront-End Development

Drive analytics

Intern

May 2019 – Oct 2019 · 5 mos · Greater Chennai Area

Developed a system consisting of raspberry pi devices and cameras were used to develop a scanner to generate 3D models of humans for healthcare and fitness industries. A voice command activated raspberry pi master-slave architecture was created, using rabbitmq software, and an algorithm was written for efficient communication between the master raspberry pie (3B+) and the slave pi (pi zero) to record the video. The product created could efficiently and accurately scan a person and create a 3D model, and has a wide range of uses, from diagnosing health issues, to creating a personalised fitness routine.

RabbitMQRaspberry PiAmazon Web Services (AWS)Embedded C

Ey analytics (asia-pacific)

Data Analyst (Intern)

May 2018 – Jul 2018 · 2 mos · Greater Chennai Area

Worked on Video Analytics project to solve issue that was causing major revenue pilferage for a leading Cafe client. Worked on projects involving OCR technology to read through documents in unsearchable formats. Worked on Chatbot development projects. Used skills such as NLP, TensorFlow custom model training, Deep Learning, Data Analytics and visualisation.

Iiit hyderabad startup

Intern

May 2017 – Jul 2017 · 2 mos · Greater Hyderabad Area

Worked predominantly on Web Development projects. Created a fully working website for 'Map My Health' startup using languages such as HTML, CSS and Javascript