Summary
Overview
Work History
Education
Skills
Certification
Projects
Websites
Accomplishments
Timeline
Generic

Kumar Videh

Bengaluru

Summary

B.E. student specializing in Artificial Intelligence and Machine Learning at Ramaiah Institute of Technology, demonstrating strong academic performance and technical proficiency. Skilled in Python, C, C++, JavaScript, and React, with expertise in Data Structures, Algorithms, and Web Development. Engaged in practical AI and ML projects, enhancing hands-on experience. Achieved recognition as a top coder on Coding Ninjas for exceptional problem-solving skills.

Overview

1
1
Certification

Work History

Generative AI & Software Intern

Merkle( Dentsu Company)
Bengaluru
06.2025 - Current

Buy Buddy AI (e-commerce chatbot)

Tech stack: Python, Streamlit, Flask, React, Tailwind CSS, ChromaDB, Google Gemini, Whisper, gTTS.

Built an intelligent voice- and text-enabled e-commerce chatbot that recommends products using GenAI and vector-based semantic search.

Implemented a custom RAG (Retrieval-Augmented Generation) pipeline with ChromaDB and Google Gemini to generate personalized product suggestions based on user queries.

Education

B.E. - Artificial Intelligence and Machine Learning

Ramaiah Institute Of Technology
Bengaluru
11.2026

High School Diploma -

ST. Michael's High School
Patna
07-2022

Skills

  • CSS
  • SQL
  • C/C
  • Tailwind
  • Python
  • Data Science
  • HTML
  • Java Script
  • ReactJS
  • Machine Learning
  • NLP
  • Deep Learning
  • GenAI

Certification

  • Data Analyst – Udemy
  • Data Structures & Algorithms – Udemy

Projects

NutriNova-Diet Recommendation and Management System:

ReactJS, MongoDB, ExpressJS, NodeJS, Tailwind, LangChain, built a comprehensive diet recommendation and management system using the MERN stack, implemented user authentication and authorization, ensuring secure access to personalized dietary plans and features, developed and integrated a chatbot using LangChain to provide users with real-time dietary suggestions and nutritional information. 

music recommendation system based on facial emotion:

self-learning project, CNN, ReactJS, NodeJS, MongoDB, Tailwind, Flask, used the FER-2013 dataset to build a strong deep learning model that can read a user’s facial expressions to figure out how they are feeling (happy, sad, etc) and suggest songs that fit that mood., Used Flask to deploy the model and ReactJS to make the frontend. ExpressJS and MongoDB were used to make a proper user login system.

Accomplishments

  • 7-star coder and Ninja Dominator at Coding Ninjas
  • Ranked 1st in college on Coding Ninjas (Sep & Oct 2024)
  • Solved 250+ problems on DSA across platforms (LeetCode, GFG, etc.)
  • Built and deployed multiple full-stack and AI/ML projects

Timeline

Generative AI & Software Intern

Merkle( Dentsu Company)
06.2025 - Current

B.E. - Artificial Intelligence and Machine Learning

Ramaiah Institute Of Technology

High School Diploma -

ST. Michael's High School
Kumar Videh