charan Batchu

Senior Software Engineer

Hyderabad, Telangana, India9 yrs 7 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Proficient in multiple programming languages including Node.js and Python.
Strong background in Android development and web technologies.
Experience in developing scalable applications in a fast-paced environment.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer with expertise in Mobile and Web Development.

Contact

charanbatchu@gmail.com LinkedIn

Skills

Core Skills

Android Development

Other Skills

Node.jsPythonAmazon Web Services (AWS)AlgorithmsWeb DevelopmentC++PHPMySQLHTML5HTMLSQLCodeIgniterCPhpMyAdminJavaScript

About

Experienced Software Engineer with a demonstrated history of working in the information technology and product industry. Skilled in Nodejs, Python, AWS, Angular js, PHP, CodeIgniter and Android Development. Strong engineering professional with a Bachelor of Technology (B.Tech.) focused in Computer Science from International Institute of Information Technology.

Experience

9 yrs 7 mos

Total Experience

1 yr 11 mos

Average Tenure

4 yrs 10 mos

Current Experience

Airbnb

2 roles

Senior Software Engineer

Promoted

Sep 2025 – Present · 8 mos

Software Engineer

Jul 2021 – Sep 2025 · 4 yrs 2 mos

Imimobile

Software Engineer

Nov 2019 – May 2021 · 1 yr 6 mos

Marketfront software solutions pvt ltd

Software Developer

Jul 2018 – Oct 2019 · 1 yr 3 mos · Hyderabad Area, India

Hike messenger

Software Developer

Jun 2017 – Jun 2018 · 1 yr · Bengaluru Area, India

Working as an android Developer at Hike Messenger

Scholargraph

Backend Developer

May 2016 – May 2017 · 1 yr

An online website, which serves as a platform for the information of a college/school. Using a systematic and efficient algorithm, the collected reviews from various users are filtered for the genuine information.

Rockmetric innovations private limited

Software Engineer

May 2015 – Jul 2015 · 2 mos

Webpage monitoring, Form Tracking Automation. Track the user live data like time spending on a webpage and the other pages accessed from this webpage. The aim of the project is focused to the
present online store purchasing. It helps the store developer to selectively advertise the products to the user in his next visit.