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Undergraduate in Electrical and Electronics Engineering (2011-2015)
Major courses
Control systems
Power Electronics
Digital signal processing
Associate system Engineer- IBM (2015-2018)
ORACLE & SQL DBA
Jul 2015 – Nov 2018
Jul 2015 – Nov 2018
IBM, ASSOSCIATE SYSTEM ENGINEER
IBM, ASSOSCIATE SYSTEM ENGINEER
Worked as an ORACLE/SQL DBA for British Petroleum- a UK based Government client.
Dec 2018 – Jun 2019
Dec 2018 – Jun 2019
INFOSYS, SENIOR SYSTEM ENGINEER
INFOSYS, SENIOR SYSTEM ENGINEER
Worked as an Oracle and SQL Database Administrator for KROGER-An American based Retail company.
Research Scholar (2019-2024)
in Department of Astronomy, Astrophysics and Space Engineering
Machine Learning/Deep Learning
Space Weather
I did my PhD thesis on " Machine Learning in Studies of Space Weather Disturbances." where I worked on applying deep learning/AI to have better forecasting models on space weather.
Coursework in PhD:
Machine learning
Space weather
Visiting Scholar( 2023 - 2024)
In Heliophysics Division
Responsibilities :
Worked with CDAW datasets to Predict geoeffectiveness of Halo CMEs using Machine Learning models.
Postdoctoral Fellow ( 2025 - present)
In department of Astronomy and Astrophysics
Responsibilities :
Currently working with GONG dataset on Active Region prediction using Deep learning models.
Research Interests
Research Interests
Solar wind
Coronal Mass Ejections and Solar flares
Machine/Deep Learning, Big Data
Interested in working towards improving space weather forecasts using physics infused Deep Learning models.
Research Experience
Research Experience
Worked on SDO/AIA datasets, CDAW datasets, HMI datasets from JSOC, GONG Magnetograms and Farside maps.
Good knowledge in handling images and time series dataset using python
Hands-on experience in using Keras,Tensorflow for Deep learning.
Interpreting results of ML model and DL model using SHAP/LIME/GradCAM
Uncertainty quantification using Bayesian Monte Carlo methods for deep learning models.
Good in handling imbalanced datasets using cost sensitive learning, over/undersampling, SMOTE.
Worked extensively with deep learning models ANN,CNN, RNN/LSTM , Vision Transformers , Autoencoders, Diffusion models and GAN.
Tuning hyperparameters of the models and transfer learning.
Good knowledge in physics informed neural networks.
Languages
Querying language: SQL
Python - advanced level
C++-basic level
arduino - basic level
Operating Systems
Windows, Linux/UNIX, Mac
Programming Platforms
Jupyter, Matlab
Other Platforms
Git, Arduino
Tools
Tableau, Latex
Workshops:
Finished One week course on High Performance Computing (HPC), Big Data and AI during Jan 20-24, 2020, conducted by Supercomputer Education and Research Centre (SERC) of Indian Institute of Science (IISc).
Teaching
Teaching Assistant for Space weather course (2020 Autumn semester), IIT Indore
Teaching Assistant for IoT for Space Applications (2021 Autumn semester),IIT Indore
Assisted in TEQIP workshop held on “Introduction to Machine and Deep learning” organized by DAASE .
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