Vamsi Teja Yarramallu

Software Engineer

Hyderabad, Telangana, India6 yrs 11 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Proven experience in building scalable software applications.
Strong foundation in architectural and high-level design.
Passionate about machine learning and robust software practices.

Stackforce AI infers this person is a Software Engineer with expertise in scalable systems and machine learning applications.

Contact

Skills

Core Skills

Architectural DesignHigh-level DesignJavaNosqlMachine LearningWeb Development

Other Skills

C++PythonC (Programming Language)LinuxMySQLHTMLDjangoData StructuresSQLOperating SystemsGame DevelopmentCSSMicrosoft WordPublic SpeakingManagement

About

I am a technology enthusiast who likes to explore different fields. I have a demonstrated experience in building robust software applications with high scalability and availability. Technical skills: Programming Languages- C++, Java, Python Web technologies- Django , Spring Platforms- Windows, Linux, Mac Database Technologies- MySQL and NoSql My interests- Building ML models and scalable systems with robust practices.

Experience

6 yrs 11 mos

Total Experience

3 yrs 5 mos

Average Tenure

6 yrs 7 mos

Current Experience

Amazon

2 roles

Software Development Engineer 2

Promoted

Mar 2022 – Present · 4 yrs 2 mos · On-site

Architectural DesignHigh-Level Design

Software Development Engineer

Oct 2019 – Mar 2022 · 2 yrs 5 mos · On-site

JavaNoSQL

Samsung r&d institute india - bangalore private limited

Software Engineer

Jun 2019 – Oct 2019 · 4 mos · Bengaluru Area, India

Worked with 4G network team whose activities include
1) Building setups for new projects
2) Crash Issue Analysis and Security Patches.

Fidelity investments

Software Development Intern

May 2018 – Jul 2018 · 2 mos · Chennai Area, India

Worked on creating and implementing efficient algorithm using Machine learning techniques and a web interface to use that functionality. It maps a person to the best fit role available in the organisation by analysing their skillset and past experience.