Simulator vs Emulator
What is the difference between a simulator and an emulator?
Professional Summary
Professional with 10+ years of experience in data-driven fault diagnosis and prognosis of rotating machinery. I got introduced to these fields during my PhD research at IIT Kharagpur, where I was advised by Prof. A. R. Mohanty. I am a trained Mechanical Engineer with proficiency in machine learning and programming. Always eager to leverage my domain knowledge and machine learning experience to tackle emerging problems in condition-based maintenance and Industry 4.0. An open source contributor aiming to demystify technical jargons through expository writing and code that would contribute towards understanding of digital transformation happening in mechanical/manufacturing industry. My open source contributions can be found here and my blogs can be found here. Beyond research, I like literature and music.
Interests
Agentic Systems
Natural Language Processing
Machine Learning
Deep Learning
3D Printing
Anomaly Detection
Time Series Analysis
Signal Processing
Condition-Based Maintenance
Industrial Internet of Things
Experience
Machine Learning Engineer
HP Inc. R&D
Machine Learning Engineer
TEKsystems (HP Inc. R&D)
Project Manager (Condition-Based Maintenance)
MachineSense (Prophecy Sensorlytics Pvt. Ltd.)
Senior Data Science Consultant
MachineSense (Prophecy Sensorlytics Pvt. Ltd.)
Education
Ph.D. in Mechanical Engineering
Indian Institute of Technology, Kharagpur, India
M. Tech. in Mechanical Engineering
National Institute of Technology, Rourkela, India
B. Tech. in Mechanical Engineering
Odisha University of Technology and Research (Formerly College of Engineering and Technology), Bhubaneswar, India
Recent Posts
Compute element stiffness matrix symbolically
How to obtain element stiffness matrix using symbolic mathematics (without manual computation)?
Making Github Traffic Type Plots
Make plots similar to Github Traffic style plots using Python.
IndexedSlices in Tensorflow
What are `IndexedSlices` and why are they get used in Tensorflow?
Tensorflow 2 code for Attention Mechanisms chapter of Dive into Deep Learning (D2L) book
Implementing attention mechanisms, multi-head attention, transformer architecture, etc. from scratch in Tensorflow.
Projects
Data-Driven Remaining Useful Life (RUL) Prediction
Aim of this project is to produce reproducible results in condition monitoring. We will apply some of the standard machine learning techniques to publicly available datasets and …
Data-Driven Machinery Fault Diagnosis
Aim of this project is to produce reproducible results in condition monitoring. We will apply some of the standard machine learning techniques to publicly available machinery …
Recent Talks
(2025).
Python Basics (AICTE ATAL FDP).
Recent Publications
(2023).
Estimation of torque variation due to torsional vibration in a rotating system using a kalman filter-based approach.
JVET.
(2022).
Multiclass bearing fault classification using features learned by a deep neural network.
In International Congress and Workshop on Industrial AI 2021.
(2021).
Machine Learning, Regression, and Optimization.
In Data Science and SDGs.
(2020).
Feature Subset Selection Using Sparse Principal Component Analysis and Multiclass Fault Classification Using Selected Features.
In Advances in Asset Management and Condition Monitoring. Smart Innovation, Systems and Technologies.
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