Full-Stack AI/ML Engineer Intern Candidate

Nithiya Shri D

*******.*.****@*****.*** +91-735**-***** Chennai, Tamil Nadu

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Summary

Enthusiastic and self-motivated Artificial Intelligence and Machine Learning student with practical experience in full-stack web development, DevOps, and database management. Strong background in Python, Java, C, and web technologies like React, Flask, and Node.js. Adept at building scalable web applications, handling infrastructure, and deploying machine learning models. Eager to contribute to innovative projects and grow in a collaborative environment.

Education

B.E. Artificial Intelligence and Machine Learning Rajalakshmi Institute of Technology Expected Graduation: May 2026

Class XII VGN Chinmaya Vidyalaya, Chennai, Tamil Nadu Graduated: May 2022

Class X SS Citizen School, Chennai, Tamil Nadu

Graduated: May 2020

Technical Skills

Languages: C, Java, Python, SQL, Bash

Web: HTML, CSS, JavaScript, React, Node.js, Flask, Vue.js DevOps: Docker, Nginx, Linux (Red Hat), Shell Scripting, Virtual Machines Version Control: Git, GitHub, GitLab

Databases: SQL, PostgreSQL, MongoDB, TimescaleDB

Experience

Full-stack Developer – Intern Nov 2024 – Apr 2025

National Informatics Center (NIC) - STPI Chennai, Tamil Nadu

• Developing dynamic web applications using React, Node.js, and Django.

• Collaborating with the team on API integration and UI design.

• Implementing backend services with database connectivity using SQL. Projects

Flower Image Classification with TensorFlow Lite 2024

• Built and trained a flower image classification model with TensorFlow and deployed it on mobile devices using TensorFlow Lite.

• Covered data preprocessing, model development, and overfitting mitigation. GIAS – GePNIC Infrastructure Alert System 2024

• Developed a real-time alert system for infrastructure monitoring using Vue.js, PostgreSQL, Docker, and Linux.

• Automated system alerts and implemented a live monitoring dashboard.

• Optimized database queries and deployed the system with Nginx. GePNICAS – Infrastructure Data Integration 2024

• Extracted and integrated infrastructure data into the GePNIC system for accurate monitoring and alerting.

• Gained experience in server metrics, automation, and system administration.

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