About

I am Kishore S, a final-year B.Tech student in Computer Science and Engineering (AI & ML) at Vels Institute of Science, Technology and Advanced Studies, Chennai, graduating in 2027. I have built projects such as a CNN-based waste classifier, a mental health chatbot, and a skin defect analysis AI application, leveraging skills in Java, Python, SQL, JavaScript, and AI frameworks like TensorFlow and MobileNet. I am aiming for a role as a Full-stack Developer, with a strong foundation in backend technologies like Spring Boot, Spring Data JPA, and databases such as MySQL and PostgreSQL.

Experience

1. AI & Data Analytics Internship (Virtual)

   Shell India

   Jan 2025 – Feb 2025 · Bengaluru

   Developed a CNN-based waste classifier using MobileNet transfer learning during a four-week virtual internship. Prepared custom waste images and trained the final classification layers while freezing the pretrained feature layers. Presented and published the waste classification work at the ICRTME international conference, Vels University.

2. AI & ML Internship (Virtual)

   IBM SkillsBuild

   Dec 2025 – Jan 2026

   Developed MindBloom, a mental health support chatbot, during a six-week virtual AI and ML internship. Integrated the Groq API to generate conversational responses and connected it to the application for user interaction. Deployed the chatbot application on Render, making it available through a public web link.

Education

1. Vels Institute of Science, Technology and Advanced Studies, Chennai

   B.Tech in Computer Science and Engineering (AI & ML)

   2023 – 2027 · Grade: 8.00/10.0

2. Bharathidasan Matriculation Higher Secondary School, Kanchipuram

   Higher Secondary Certificate (Class XII)

   2022 – 2023 · Grade: 81%

Projects

• LinkedIn AI Agent

  • Python
  • LangGraph
  • Groq
  • Tavily AI
  • CLI

  Created a multi-agent system powered by Groq's Llama 3 to generate engaging LinkedIn posts from user prompts. Orchestrated agents using LangGraph, including a Research (Tavily API) and a GitHub Agent for data gathering. Developed a CLI for user interaction and integrated the LinkedIn API for optional, direct social-post publishing.

• DermaVision AI - Analyse Skin Defects

  • Python
  • MobileNet
  • Ollama
  • Llama 3.2 1B
  • mxbai-embed-large

  Developed a MobileNet-based skin image analysis application with a REST API backend for image classification. Used mxbai-embed-large for retrieval embeddings and Ollama with Llama 3.2 1B to explain skin conditions. Implemented Google OAuth and JWT authentication, with saved scan history and persistent user chat sessions.

• Course Registration System

  • Java
  • Spring Boot
  • Spring Data JPA
  • MySQL
  • HTML
  • CSS
  • JavaScript

  Built a full-stack course registration application to browse courses, register students, and view enrollment records. Designed a layered Spring Boot backend with Spring Data JPA and MySQL for course and registration storage. Connected HTML and CSS pages to backend APIs using JavaScript Fetch to display courses and enrolled students.

Certifications

• Core Java

  VPS CodeBuilders Pvt. Ltd.

• Python for Data Science

  NPTEL

• Cloud Computing

  NPTEL

• Database Management

  Wipro

• Introduction to Linux (LFS101)

  Linux Foundation

Achievements

• Open Source Contribution - Spring Boot Migrator

  2025

  Implemented a local fix for issue #134 to migrate DataSource schema and credentials from Spring Boot 2.4 to 2.5.