---
title: "KALISETTI CHAKRAVARDHAN NAIDU - Full Stack Developer Intern in Vellore | Tal"
description: "Meet KALISETTI CHAKRAVARDHAN NAIDU, Final-Year CS Student @ VIT | Full-Stack Developer (MERN) | AI/ML Engineer | AWS & OCI Certified | Open to SDE, Full-Stack & ML Roles based in Vellore. AI stack includes antigravity, claude code, and codex."
image: "https://tal.club/meet/kalisetti-chakravardhan-naidu/share-image"
---

# KALISETTI CHAKRAVARDHAN NAIDU on Tal

## Headline

Final\-Year CS Student @ VIT \| Full\-Stack Developer \(MERN\) \| AI/ML Engineer \| AWS &amp; OCI Certified \| Open to SDE, Full\-Stack &amp; ML Roles

## About

Final\-year B\.Tech CSE \(IoT\) student at VIT Vellore \(CGPA: 8\.33\), actively seeking SDE, Full\-Stack, or AI/ML roles for 2026\. I build production\-grade web systems and deploy intelligent ML applications end\-to\-end\. 🔧 Tech Stack: • Backend: Node\.js, Express\.js, Flask, Django, REST APIs • Frontend: React\.js, JavaScript \(ES6\+\) • Databases: MongoDB, PostgreSQL, MySQL • AI/ML: Python, PyTorch, CNNs, NLP \(DistilBERT, RoBERTa\), Scikit\-learn • Cloud &amp; DevOps: AWS \(EC2, S3, Lambda\), Docker, CI/CD, Git 💼 Experience: Full Stack Developer Intern at a Remote Tech Startup \(May–Aug 2024\) • Built backend services handling 5,000\+ daily API requests using Node\.js &amp; Express\.js • Improved REST API response time by 35% through async optimization • Reduced deployment errors by 40% via CI/CD automation with Git 🚀 Notable Projects: • COVID\-19 Detection AI — Xception CNN, 83% accuracy, deployed on AWS EC2 via Docker • House Price Prediction — Hybrid ML \+ NLP model, R² = 0\.859 \(DistilBERT \+ ElasticNet\) • Hospital Management System — Secure RBAC web app with JWT authentication 🏆 Certifications: • AWS Certified Solutions Architect – Associate • Oracle Cloud Infrastructure 2025 Generative AI Professional • Oracle Cloud Infrastructure Certified Foundations Associate Let's connect — open to internships, full\-time SDE/ML roles, and project collaborations\!

## Location

Vellore

## AI stack

antigravity

claude code

codex

hugging face

langgraph

notebooklm

## Work experience

Full Stack Developer Intern at Healthcare SaaS startup, May 2024 \- Aug 2024 · 4 mos, Remote, • Designed and developed scalable backend services using Node\.js and Express\.js, supporting 5,000\+ daily API requests with modular, service\-oriented architecture\. • Improved REST API response time by 35% by optimizing asynchronous request handling and implementing efficient middleware pipelines\. • Designed and indexed MongoDB schemas to handle high\-frequency healthcare data and support complex aggregation queries\. • Automated CI/CD workflows using Git and environment\-based configuration management, reducing deployment errors by 40%\. • Collaborated in a fully remote Agile team, delivering production\-ready features across multiple sprint cycles with code reviews and documentation\.

## Education

Bachelor of Technology \(B\.Tech\), Computer Science and Engineering \(CSE\) \- IoT, Vellore Institute of Technology

Intermediate \(Class XII\), Mathematics, Physics, Chemistry \(MPC\), Narayana Junior College \- India

[View the original profile](https://tal.club/meet/kalisetti-chakravardhan-naidu)

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