Hi, I'm
I am an engineer that wants to solve real-world problems through A.I. Passionate about clean code, scalable architecture, and cutting-edge technology.
class Engineer {
constructor() {
this.name = 'Dhruba';
this.skills = [
'JavaScript',
'Python',
'Machine Learning',
];
}
build() {
return 'Amazing Things';
}
}I'm a Computer Engineer with a passion for building elegant solutions to complex problems. With expertise spanning software development, system architecture, and emerging technologies, I thrive on turning innovative ideas into reality.
B.S. in Computer Engineering
6 months in as junior nodejs backend developer
10+ Completed Projects
This project is a Machine Learning–based Diabetes Prediction System that uses a Logistic Regression model built with Scikit-learn to predict diabetes risk from user health data. The backend is developed using FastAPI to serve predictions efficiently, while a Streamlit frontend provides an interactive and user-friendly interface. ngrok is used to expose the local backend to a public URL, enabling seamless testing and integration of the end-to-end application.
The SimpleRAG is a Retrieval-Augmented Generation (RAG) application built with Streamlit that enables users to ask questions about Infosys students. It leverages Groq’s API and vector embeddings to find relevant documents and generates answers using the LLM model llama-3.3-70b-versatile.
A Google ADK agent that provides the current weather, coordinates, and time for a specified city. The agent uses the Open-Meteo API for weather data and a geocoding API for latitude and longitude.
This project implements a real-time helmet detection system using YOLOv8. It detects whether a person is wearing a helmet or not and raises an audible beep alert if someone is without a helmet.
I'm always open to discussing new projects, creative ideas, or opportunities to be part of your vision.