Hi, I'm Preyum Kumar

Full Stack AI Engineer | MLOps | Open Source Enthusiast

Transforming complex data into interactive experiences. I am a Full Stack Developer with a specialized background in AI, capable of embedding real-time image processing and LLM-driven features directly into modern web architectures. I don't just build websites; I build systems that think.

Preyum Kumar

About Me

Learn more about my background and experience

Currently working as Program Associate II at IITGN R&D, where I specialize in creating and maintaining robust data pipelines. I've developed chatbots capable of intelligent user interactions and work as a data engineer, designing and optimizing data structures to meet evolving pipeline requirements.

I completed my Master of Technology (MTech) in Computer Science and Engineering from Indian Institute of Technology Gandhinagar (IITGN), specializing in Computer Vision (CPI: 8.25). During my studies, I pursued additional courses and projects in Natural Language Processing (NLP), bridging my interests between vision and language models.

I earned my Bachelor of Technology (BTech) in Computer Science from North Eastern Regional Institute of Science and Technology (NERIST) with a CPI of 9.43. This foundation equipped me with strong fundamentals in computer science and problem-solving skills.

Quick Facts

  • Program Associate II at IITGN R&D
  • MTech (CSE) from IITGN - CPI 8.25
  • BTech (CS) from NERIST - CPI 9.43
  • Expertise: Computer Vision, NLP & Data Pipelines
  • Full Stack AI Engineer
  • Open Source Contributor

Featured Projects

Checkout some of my recent work

Review Sentiment Analysis - Image 1
Review Sentiment Analysis - Image 2
Review Sentiment Analysis - Image 3
Review Sentiment Analysis - Image 4
Review Sentiment Analysis - Image 5
Review Sentiment Analysis - Image 6
Review Sentiment Analysis - Image 7

Review Sentiment Analysis

A web-based sentiment analysis application using VADER and RoBERTa models built with Streamlit.

PythontransformersPandasNumPyStreamlitnltk
Email Spam Classifier - Image 1
Email Spam Classifier - Image 2
Email Spam Classifier - Image 3
Email Spam Classifier - Image 4
Email Spam Classifier - Image 5

Email Spam Classifier

A machine learning model to classify emails' or sms' text as spam or not spam (i.e ham). Using Naive Bayes algorithm and Pre-trained RoBERTa transformer model from Hugging Face.

Pythonscikit-learnPandasNumPytransformersStreamlit
QR Code Designer - Image 1
QR Code Designer - Image 2
QR Code Designer - Image 3
QR Code Designer - Image 4
QR Code Designer - Image 5

QR Code Designer

A beautiful, full-featured QR code designer built with Next.js and qr-code-styling. Generate, customize, and export designer QR codes with preset themes, advanced styling (dot & corner styles, colors, error correction), and multiple export options (PNG, SVG, JPEG, clipboard).

Next.jsReactTypeScriptTailwind CSSqr-code-styling

Skills & Technologies

Technologies and tools I work with

Programming

  • Python
  • C++
  • Go

ML & AI

  • TensorFlow
  • PyTorch
  • Scikit-learn
  • Hugging Face
  • Transformers
  • OpenCV
  • Ollama

Tools

  • Git
  • Docker
  • VS Code
  • GitHub
  • MLFlow
  • Netlify

Frontend

  • React
  • Next.js
  • TypeScript
  • Tailwind CSS
  • JavaScript

Backend

  • Node.js
  • Express
  • PostgreSQL
  • MongoDB
  • Firebase

Others

  • REST APIs
  • GraphQL
  • WebSockets
  • Agile
  • Problem Solving

Latest Blog Posts

Tips, tutorials, and insights from my journey

Email Spam Classifier with Streamlit and Docker

Email Spam Classifier with Streamlit and Docker

This guide details an end-to-end Machine Learning pipeline for email spam classification, covering text preprocessing, comparative evaluations between Naive Bayes and fine-tuned RoBERTa models, interactive visualization with Streamlit, and deployment using Docker.

2026-06-04
9 min read
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Lexicon vs. Transformers: A Complete Guide to Sentiment Analysis with VADER and RoBERTa

Lexicon vs. Transformers: A Complete Guide to Sentiment Analysis with VADER and RoBERTa

This comprehensive guide details a complete sentiment analysis workflow comparing a lexicon-based bag-of-words approach (VADER) and a deep learning transformer-based approach (RoBERTa), concluding with an interactive Streamlit dashboard for live model testing.

2026-06-02
11 min read
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Understanding REST APIs

Understanding REST APIs

REST (Representational State Transfer) is the architectural standard for modern web services. This guide explains what APIs are, the specific rules of REST, and how to implement them using FastAPI.

2026-05-19
6 min read
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