Jaiminkumar Chaudhari

Software Engineer

Bengaluru, Karnataka, India4 yrs 9 mos experience

Key Highlights

Achieved 100th rank in Google Kickstart 2019-G.
Cleared Advanced and Foundation levels of CCDSAP.
3 years of backend experience with top tech companies.

Stackforce AI infers this person is a Backend Developer with expertise in AI/ML and competitive programming.

Contact

jchaudhari@microsoft.com LinkedIn

Skills

Core Skills

JavaBackend Development

Other Skills

C++Data Structures and AlgorithmsGithubGo (Programming Language)KubernetesPostman APIRabbitMQcompetitive programming

About

I have 3 years of work experience with InMobi and Amazon focused on Backend. I am a graduate student of ICT at DAIICT. Competitive programming, software engineering, and Machine Learning are topics I find interesting and love discussions on them. I have achieved 100th rank in Google Kickstart 2019-G. I have cleared the Advanced and Foundation level of the Codechef Certified Data Structure and Algorithms Programme (CCDSAP). Apart from all these, I like cycling and listening to music.

Experience

Microsoft

SDE II

Jul 2025 – Present · 8 mos · Hyderabad, Telangana, India

Telus international ai data solutions

SDE-2 Backend

May 2024 – Jul 2025 · 1 yr 2 mos · Bengaluru, Karnataka, India · Hybrid

JavaGo (Programming Language)Backend Development

Inmobi

SDE II

Aug 2023 – Feb 2024 · 6 mos · Bengaluru, Karnataka, India · Hybrid

Amazon

2 roles

Software Development Engineer

Jul 2020 – Nov 2022 · 2 yrs 4 mos

Software Development Engineer Intern

Jan 2020 – Jul 2020 · 6 mos

Dhirubhai ambani institute of information and communication technology

Summer Internship at DAIICT

May 2019 – Aug 2019 · 3 mos · Gandhinagar

ˇ Developed web tool for visualizing live changes in weights and gradient of neural networks while in training phase.
ˇ Implemented customizable Multilayer perceptronon(MLP) on MNIST Dataset. Worked on developing back-end functionalities of web tool to work on MLP’s output.
ˇ The most challenging part was to efficiently extracting and formatting information from MLP’s output at runtime.