Vivek Vardhan Adepu

Product Engineer

Bengaluru, Karnataka, India4 yrs 6 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Contributed to major Apache projects like Iceberg and Kafka.
Developed payment solutions for mobile applications.
Strong foundation in data science and software engineering.

Stackforce AI infers this person is a Software Engineer with expertise in SaaS and Fintech.

Contact

Skills

Core Skills

Linux KernelSoftware DesignReact.jsReact Native

Other Skills

C (Programming Language)ScalaHTMLJavaScriptMachine LearningDeep LearningOperating SystemsProgrammingInformation SecurityComputer NetworkingArduinoData ScienceC++LinuxMySQL

About

Experienced Contributor with a demonstrated history of working in the computer software industry. Skilled in Data Science, Arduino, Information Security, Programming, and Computer Networking. Strong media and communication professional with a BTech in Computer Science from Indian Institute of Technology, Kharagpur.

Experience

The linux foundation

Linux Kernel mentee

Sep 2025 – Dec 2025 · 3 mos · Remote

Linux KernelC (Programming Language)

The apache software foundation

2 roles

Contributor, Apache Kafka

Jun 2025 – Sep 2025 · 3 mos

Currently on pause

Contributor, Apache Iceberg

May 2025 – Present · 10 mos

Confluent

Software Engineer

Dec 2022 – May 2025 · 2 yrs 5 mos · Bengaluru, Karnataka, India · Remote

Working in Kora Storage team

ScalaSoftware Design

Searce inc

Software Engineer

Jul 2021 – Dec 2022 · 1 yr 5 mos

Worked on react PWA webapp and react-native mobile apps
Integrated various payment gateways into their mobile app: tidypay, stripe, dojo
Developed and Contributed to payment gateway npm packages
https://github.com/vivekvardhanadepu/react-native-tidypos-terminal
https://github.com/vivekvardhanadepu/react-native-stripe-terminal

HTMLJavaScriptReact.jsReact Native

Google summer of code @apertium

Contributor | GSoC '21

Feb 2021 – Aug 2021 · 6 mos

Our bilingual dictionaries allow for ambiguous translations, selecting the right one in a context is handled by our Lexical selection module apertium-lex-tools. We can either write rules manually, or word-align and train on a corpus to infer rules automatically. Unfortunately, the procedure for training is a bit messy, with various scripts involved that require lots of manual tweaking, and many third-party tools to be installed, e.g. fast_align, yasmet
The goal of this project is to make the training procedure as streamlined and user-friendly as possible

Mastercard

Software Engineer

May 2020 – Jun 2020 · 1 mo · Bengaluru, Karnataka, India

Developed a contactless PoS/acceptance device on a low-cost hardware which works in conjunction with the backend libraries.
Studied various HTTP/2 Arduino libraries for our device
Designed HTTP/1.1 and HTTPS based Arduino libraries for the communication between PoS and backend libraries.

Qnu labs

Software Engineer

May 2019 – Jul 2019 · 2 mos · Bengaluru, Karnataka, India

Assisted in developing an application software for their Quantum Key Distribution (QKD) system
Implemented local and remote logging functionality using rsyslog protocol in Linux
Studied and optimized OSPF [Open Shortest Path First] routing protocol for their
requirements
Ported the customized OSPF to Linux by using libbsd in C++