- Data analysis and data mining - Applying ML algorithms clustering, deep learning(CNN,GNN) and reinforcement learning

- Responsible for ML dataset generation for quantum state tomography- Building and training ML models including generative models and normalizing flows

- Pythonic software development based on quantum computing

- Teaching machine learning and quantum machine learning applications courses

- Bayesian Optimization using Python Guided Project Course- Time Series Forecasting and ARIMA Models Guided Project Course- Ensemble Methods in Machine Learning Guided Project Course- Getting Started with PyTorch Guided Project Course- Programming a Quantum Computer using Qiskit Course

- Worked on Signature Detection and Deep Packet Inspection(DPI)

- Network troubleshooting and network documentation

Implemented an instance of POSIX thread library interface in the kernel space and a network programming interface in the Linux kernel.

Done research on quantum entanglement and quantum contextuality.