Hello, World.

I'm Amit Bhandari.

Android Developer Backend Developer

More About Me

Let me introduce myself.

Profile Picture

I am an engineering graduate, open source and Linux enthusiast. Like to call myself a writer (although I mostly write codes and stuff)

I am fast learner, early adopter, deeply driven and self motivated software craftsman. With pinch of sarcasm, I am die hard fan of music. (All kinds of music).

I write about technical things sometimes at my blog ¯\\_(ツ)_/¯ The Tech Guru ¯\\_(ツ)_/¯ and on Quora


  • Fullname: Amit Rajendra Bhandari
  • Birth Date: July 24, 1994
  • Job: Android & iOS Developer
  • Website: www.thetechguru.in
  • Mobile: +91-9604330444
  • Email: amit.bhandari@outlook.in


  • 95%
    Java, Kotlin
  • 95%
    Android Studio
  • 70%
  • 70%
    Swift, Python
  • 70%
    Adobe Photoshop
  • 90%
    Linux, Bash
  • 95%
    API Integration
  • 95%

More of my credentials.

Find my credentials below in chronological order

Work Experience

Senior Android Developer

Jan 2018 - Present

Allps Digital

- Developed and deployed Cliptime application: An innovative clip (short video) based marketplace (cliptime.info)
- Assisted in writing iOS version of Cliptime.
- Developed Android and iOS version of iProPal(.com) using Flutter.
- Developed Android application for Billte(.ch): an end to end Invoice Processing platform based out in Switzerland.
- Wrote and integrated backend APIs for Billte in vertx framework.
- Designed configuration module which was causing consistent deployment failures for Billte.
- Dockerized Billte Application.

Application Developer

Jan 2016 - Jan 2018

IBM India Pvt Ltd

- Maintained CFSW (ConFigurator for SoftWare): 25 year old legacy application build on c++.
- Resolved bugs reported by sales team in continuous effort to make CFSW stable.
- Implemented new features requested by SMEs following agile methodologies.
- Successfully solved year old backlog issues using my sharp debugging skills.


Jan 2015 - Jan 2016

Image Processing and Machine Learning

- Developed a supervised algorithm to detect falls in elderly homes or hospital rooms using image processing without using any hardware sensors.
- Complete fall detection using OpenCV libraries and machine learning (scikit-learn) in python.
- Accuracy of over 95% on our own dataset.
- Accuracy of over 90% for third party dataset.


Bachelor of Engineering

2012 - 2015

MIT College of Engineering

University of Pune
Electronics and Telecommunication
With aggregate 73%


2009 - 2012

Government Polytechnic Jalgaon

State Board of Technical Education, Maharashtra
Electronics and Telecommunication
With aggregate 91%


Check Out Some of My Works.

Presenting some of the cool work I have done over the last couple years.


What people has to say about me?

These are some of my recommendations from linkedin




Active Users


Hours of Coding


Coffee Cups


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Where to find me

C-1104, Mantri Celestia, Hyderabad
500032 India

Email Me At


Call Me At

Phone: (+91) 9604330444