Aravind K Vishwanath

EXPERIENCE

AI Engineer Intern | Kazunov 1AI

Mar 2025 - Present

Building models and scalable pipelines in AWS to reduce manual effort, streamline workflows in insurance processes.
Optimized pipeline inference time, implemented authentication, and architected the workflow to support multi-user access.

AWS, Docker, OCR, NLP, LLMs, LayoutLM, Machine Learning.

Project Intern | Infocon International Pvt Ltd

Sep 2024 - Oct 2024

Contributed to building an AI based search engine, which optimized the search in terms of speed and context.
Designed and handled the backend system of the search engine, including ranking the data and indexing for better search.

Elasticsearch, NLP, NER, Python, Flask, Spacy.

Personal Portfolio Website – aravindkv.in

Designed and developed a personal portfolio website to showcase my projects, skills, and resume.
Integrated Firebase for real-time data handling and Nodemailer for contact form email automation.

Next.js, Firebase, Nodemailer, Vercel

College Conference Website – ICASAM 2025

Designed and implemented a responsive, accessible interface to ensure smooth browsing across devices and screen sizes
Contributed to front-end enhancements for improved user experience.

College Fest Website – Tatva '24

Built back-end features for college fest website, enabling secure online payments.
Managed online ticketing system for efficient event attendance.
Contributed to front-end enhancements for improved user experience.

HTML, CSS, JS, NodeJs, ExpressJs, MongoDB, Cashfree Payments Gateway.

Sparq – A CLI tool for project initialization

Developed Sparq, a CLI tool published on NPM that streamlines project initialization by generating boilerplate code for web, mobile, and desktop applications with minimal setup and commands.
Built the CLI tool to ease the process of searching for boiler plate codes

Node.js, chalk-animation, inquirer (package), NPM.

HydroWatt – A Water and Electricity Tracking App

A cross-platform mobile app to track the usage of water and electricity at home.
Optimized backend with Node.js and MongoDB, improving load times by 40% and ensuring smooth frontend integration. Designed the User-Interface of the App.

React Native, Node.js, Express.js, MongoDB, Arduino, Firebase.

BE in Computer Science and Engineering | BNMIT, Bangalore | (Oct '22 – May '26) CGPA – 9.61

Programming Languages: Python, Go, Java, JavaScript, C

Frameworks & Libraries: Next.js, React.js, React Native, Node.js, Express.js, MERN Stack.

Tools & Platforms: AWS, Docker, Git, Figma, Firebase, MongoDB, Elasticsearch.

Technologies: NLP, OCR, Data Visualization, Basics of System Design.