Building Digital
Experiences
Hi, I'm a Software Engineer specializing in scalable architecture, elegant code, and crafting premium user interfaces. Let's turn complex problems into beautiful solutions.
Who Am I?
The developer behind the code
Hi, I'm Deepraj Singha
AI/ML Developer & Full Stack Engineer building functional, data-driven solutions.
My technical toolkit spans Full-Stack Development (Static Web, FastAPI) and Data Engineering (Pandas, SQL), with specialized hands-on experience in Computer Vision using Ultralytics, TensorFlow, Keras, and Roboflow for image classification and object detection.
I am dedicated to transforming complex ideas into efficient, real-world applications.
interface Developer {
name: 'Deepraj Singha';
role: 'AI/ML Developer';
location: 'Assam, India';
interests: ['Computer Vision', 'Full Stack'];
}
const Deepraj: Developer = {
name: 'Deepraj Singha',
role: 'AI/ML Developer',
...
};Engineering Arsenal
Technologies & tools I use to bring ideas to life
Computer Vision
Building high-precision object detection and image classification models.
Data Science & ML
Data preprocessing, representation, and model deployment using robust algorithms.
Full Stack & APIs
Architecting backend services and functional frontends to serve data-driven tools.
Featured Work
A selection of projects that showcase my engineering capabilities
E-Waste Detection System
Object Detection model using YOLOV8n to identify Electronic Waste with an average precision above 80% across 8 different classes.
Student Management System
Full Stack portal for students and administration to decrease data loss and inconsistency in manual management systems.
Smart Telegram Bot
An intelligent internet-scraping automation bot that synthesizes and identifies information on demand.
Image Classification (EfficientNetB7)
Implemented a deep learning based image classification system using high-capacity neural networks (EfficientNetB7) for maximum accuracy on diverse datasets.
UIDAI Data Hackathon Product
Analyzed 5M+ Aadhaar records using Unsupervised Learning (Random Forest & LOF) to identify anomalies and provide policy recommendations for national data integrity.
GitHub Activity
Live coding statistics and language breakdown
Let's Connect
I'm currently looking for new opportunities. Whether you have a question or just want to say hi, I'll try my best to get back to you!