Hello, I'm

Kanchan Rai

Aspiring Software Developer

About Me

Hello! I'm Kanchan RaiI am a passionate about machine learning, artificial intelligence, and data-driven problem-solving. I enjoy exploring AI & Cloud applications and working with data to gain insights.

I am also active in technical communities at my campus, engaging in events, workshops, and collaborations to enhance learning and innovation.I am seeking internship opportunities to apply my skills, gain hands-on industry experience, and learn from real-world projects. Let’s connect!

Education

Bachelor of Technology in Computer Science
Amity University, Noida (2022 - 2024)

Focused on Software Engineering, Data Structures, and Algorithms.
Higher Secondary School
Kendriya Vidyalaya No 1 AFS Hindon (2022)

Work Experience

Software Developer Intern

Defence Research & Development Organization - Delhi, India

May 2025 - Present

Developing a dashboard and analytical tool for DARPAN (Dashboard for Analytical Review of Projects Across Nation) using FastAPI and SQLAlchemy, designed to manage project data and user access while significantly reducing manual dashboard management. Also building custom software solutions for the Technical Secretary of SSPL, DRDO to streamline internal operations and project workflows.
AI/ML Developer Intern

Digital Hercules Innovations - Noida, India

May 2025 - Present

Currently contributing to CreatAIGenie's Generative AI project, focusing on fine-tuning large language models (LLMs) to enhance the keyword extraction component for improved relevance and accuracy.
Machine Learning Analyst

BharatXR - Remote

June 2024 - July 2024

Designed and implemented AI-driven solutions using Python and Flask, including a Stable Diffusion-based text-to-image generation app, an event data visualization tool, and an NSFW content filter. Developed a secure data migration system from MySQL to MongoDB and an automated bulk email sender with real-time delivery tracking. Contributed to the UI/UX design of BharatXR’s official blog platform.

My Skills

HTML5

CSS3

JavaScript

Python

C/C++

Java

Django

Tailwind CSS

Fast API

Flask

Git & GitHub

Machine Learning

Fine Tuning LLMs

Firebase

Tensorflow

MongoDB

SQL

Figma

Projects

Face Detector & Notifier

A Python-based face detection system using OpenCV and YOLOv3 for face detection, integrated with Arduino for real-time signal transmission, and a Python-based face recognition system leveraging a pre-trained ResNet-18, also integrated with Arduino for signal output.

Live Demo GitHub

Fine Tuning DistilBERT for Sentiment Analysis

A fine tuned version of DistilBERT model trained on Google's GoEmotions Dataset for Sentiment Analysis categorizing 27 emotion categories.

Download Model GitHub

Krishi Mitr

Krishi Mitr AI models with 95%+ accuracy to support farmers. Predict rainfall (Ridge Regression), get crop advice (Random Forest), estimate yields (CatBoost, XGBoost, Decision Tree), and assess AQI (XGBoost + Grid Search CV).

Visit Webapp GitHub

AQI Predictor

This project predicts AQI (PM 2.5) using multiple physical factors. It's a regression problem tackled with models like Linear, Lasso, Decision Tree, Random Forest, and XGBoost. Best results were achieved using XGBoost + GridSearchCV. EDA and feature importance were also performed.