Yajnavalkya Bandyopadhyay
AI | Data | Embedded | QA
Civil | Earth Science | Mathematics | Architecture
Building intelligent systems that drive efficiency and innovation across data, AI, OS, and application layers.
Previously Chief Engineer and CTO at DebahutiTech and AI/QA at 4D
Data Engineering and Analytics
- ETL Pipelines
- Performance Optimization
- Data Visualization
- Big Data Technologies
AI/ML Development
- Model Development & Training
- NLP & Computer Vision
- AI Integration
Device Development
- Linux Kernel Development
- Driver Development
- Embedded Systems
Web Applications
- Backend Development
- ElectronJS Apps
- API Development
QA
- RPA based QA
- AI Integrated QA
- Automation Frameworks
Application Development
- Android Apps
- Standalone Apps for Windows/Linux
- Cross-Platform Apps
Highlighted Projects

Deep Learning Model for Image Classification
A convolutional neural network (CNN) trained on a large dataset to classify images into various categories

Urban Connectivity Analysis
Analyzed urban connectivity using graph theory for Urban System Optimization

Yali
A custom suite of C#-based Grasshopper components designed to generate and parametrize architectural elements of Indian temples in both Nagara and Dravidian styles.

pySteel
A Python library for structural steel design and analysis, adhering to international standards.

Deep Learning Model for Image Classification
A convolutional neural network (CNN) trained on a large dataset to classify images into various categories

Urban Connectivity Analysis
Analyzed urban connectivity using graph theory for Urban System Optimization

Yali
A custom suite of C#-based Grasshopper components designed to generate and parametrize architectural elements of Indian temples in both Nagara and Dravidian styles.

pySteel
A Python library for structural steel design and analysis, adhering to international standards.
My Authored Books

Introduction to Fractional Calculus
Introduction to Fractional Calculus offers a comprehensive yet accessible entry point into the fascinating world of fractional-order calculus.

Calculus for Engineers
Calculus for Engineers is a comprehensive manuscript by Yajnavalkya Bandyopadhyay that offers an in‐depth exploration of calculus tailored specifically for engineering applications.

Introduction to Machine Learning
Introduction to Machine Learning provides a comprehensive overview of the fundamental concepts, algorithms, and applications of machine learning.

Introduction to Remote Sensing
Introduction to Remote Sensing offers a comprehensive overview of the principles, techniques, and applications of remote sensing technology.

Introduction to Digital Image Processing
Introduction to Digital Image Processing provides a comprehensive overview of the fundamental concepts, techniques, and applications of digital image processing.

Introduction to Computational Fluid Dynamics
Introduction to Computational Fluid Dynamics offers a comprehensive overview of the principles, methods, and applications of CFD in engineering and scientific simulations.

Numerical Solutions of Ordinary and Partial Differential Equations
Numerical Solutions of Ordinary and Partial Differential Equations provides a comprehensive overview of numerical methods for solving ODEs and PDEs, essential for engineering and scientific computations.

Introduction to Fractional Calculus
Introduction to Fractional Calculus offers a comprehensive yet accessible entry point into the fascinating world of fractional-order calculus.

Calculus for Engineers
Calculus for Engineers is a comprehensive manuscript by Yajnavalkya Bandyopadhyay that offers an in‐depth exploration of calculus tailored specifically for engineering applications.

Introduction to Machine Learning
Introduction to Machine Learning provides a comprehensive overview of the fundamental concepts, algorithms, and applications of machine learning.

Introduction to Remote Sensing
Introduction to Remote Sensing offers a comprehensive overview of the principles, techniques, and applications of remote sensing technology.

Introduction to Digital Image Processing
Introduction to Digital Image Processing provides a comprehensive overview of the fundamental concepts, techniques, and applications of digital image processing.

Introduction to Computational Fluid Dynamics
Introduction to Computational Fluid Dynamics offers a comprehensive overview of the principles, methods, and applications of CFD in engineering and scientific simulations.

Numerical Solutions of Ordinary and Partial Differential Equations
Numerical Solutions of Ordinary and Partial Differential Equations provides a comprehensive overview of numerical methods for solving ODEs and PDEs, essential for engineering and scientific computations.
Let's Connect
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