About Ankit Bhavarthe
Ankit Bhavarthe (Bhavarthe Ankit Budhaji) is a Full Stack Developer, UI/UX Designer, and Co-Founder of Kairos, a digital agency delivering end-to-end full stack development and design solutions to startups and businesses, including client-deployed web applications.
He holds a B.E. in Computer Engineering from Shivajirao S. Jondhale College of Engineering, Mumbai (CGPA 8.04, Dec 2021 - May 2025). He is currently open to full-time and freelance software engineering opportunities.
Experience
Kairos (Freelancing Agency)
Co-Founder & Full Stack Developer | April 2025 - Present
- Co-founded a digital agency delivering end-to-end full stack development and design solutions to startups and businesses.
- Built production applications using React, Next.js, Node.js, Express, MongoDB, and PostgreSQL; managed deployments on AWS with full CI/CD pipelines.
- Designed UI/UX prototypes in Figma and implemented responsive frontends with Tailwind CSS.
Prodigy InfoTech
Web Development Intern | January 2024 - February 2024 | Remote
- Built responsive web applications using HTML, CSS, JavaScript, and modern frameworks.
- Implemented UI/UX designs and optimised website performance working alongside the development team.
Patent & Publications
- Patent Application No. 202421077920 - Python-Based Metro Ticketing using Face Recognition
- AnguliLekha - Indian Sign Language Recognition System (Published in IJARSCT, 95% accuracy)
Featured Projects
FALSENINE
Serverless E-Commerce Platform - Next.js, Express.js, Node.js, AWS Lambda, DynamoDB, Razorpay. Full stack football merchandise e-commerce platform with S3 storage, JWT auth, and Razorpay payments.
Harumemoirs
Client Blog Web Application - Next.js, Node.js, PostgreSQL, Tailwind CSS. Full stack blog platform with content management, dynamic routing, and SEO optimisation. Live at harumemoirs.xyz.
CRUX
Smart EV Battery Management System - React Native, Express.js, MongoDB, ESP32, Gemini AI.
AnguliLekha
AI-Powered Indian Sign Language Recognition - Next.js, TensorFlow.js. 95% accuracy.
Metro Ticketing System
Contactless face recognition ticketing with patent filed - React web + Python/OpenCV desktop interface.
Technical Skills
Frontend: React.js, Next.js, React Native (Expo), HTML, CSS, Tailwind CSS, TypeScript, WebGL, Three.js, GSAP
Backend: Node.js, Express.js, Python, Flask, Hono, REST APIs
Databases: MongoDB, PostgreSQL, DynamoDB, Firebase Firestore
Cloud & DevOps: AWS (Lambda, Amplify, API Gateway, S3), CI/CD, Serverless Architecture
AI/ML: TensorFlow.js, OpenCV, Gemini AI, Computer Vision, Face Recognition
Embedded: Arduino, ESP32, IoT Firmware, Sensor Integration